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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31018?offset=370</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/35422/postdoc-at-jaypee-institute-of-information-technology-jiit-noida-department-of-biotechnology</guid>
  <pubDate>Fri, 02 Feb 2018 11:13:25 -0600</pubDate>
  <link></link>
  <title><![CDATA[PostDoc at Jaypee Institute of Information Technology (JIIT), Noida Department of Biotechnology]]></title>
  <description><![CDATA[
<p>Lab of Dr. Rawal is supported by generous grants to build advanced applications in emerging areas of cancer genomics, network sciences, vaccine development and epidemiology. The lab has dedicated high end Xeon servers, desktops, &amp; laptops for research purpose. Currently, there are several researchers (JRFs, B. Techs, M. Tech and PhDs) working on several challenging bioinformatics projects. In addition, Dr. Rawal has collaborations with reputed national and international research teams.</p>

<p>Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Post Doctoral Fellow/Research Scientist (One Position) for the following time-bound sponsored projects as per the details given below:</p>

<p>PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.</p>

<p>Essential Qualification(s) for Post Doctoral Fellow/ Research Scientist:</p>

<p>We are seeking an individual with expertise in analyzing literature information, text mining, network biology, data integration, and modeling. Competitive candidates would also have programming experience in scripting languages with perl, C, C++, and R programming. This position requires a PhD in Computational Biology, Bioinformatics, Biostatistics, Physics or related fields, and evidence of scientific productivity through publications in international journals. Motivation to gain an in-depth understanding of biological phenomena is required. Applications should include a current CV and names of at least three references. Application packages and inquiries regarding this position can be sent to Dr. Kamal Rawal (bioinfocvatgmaildotcom and kamaldotrawalatgmaildotcom). Screening of applications will commence immediately and the position will remain open until filled. Candidates having master’s degree with extensive experience in IT industry or research can also be considered for this post.</p>

<p>Salary: Rs 50000 per month.</p>

<p>Duration: 2 years or upto the project duration.</p>

<p>Number of position: 1</p>

<p>Candidate may also fill the following form:</p>

<p>https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform</p>

<p>http://tinyurl.com/bioinfocv2017</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/7387/bioinformatics-software-for-biologists-in-the-genomics-era</guid>
	<pubDate>Sun, 22 Dec 2013 17:31:05 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/7387/bioinformatics-software-for-biologists-in-the-genomics-era</link>
	<title><![CDATA[Bioinformatics software for biologists in the genomics era]]></title>
	<description><![CDATA[<p>The genome sequencing revolution is approaching a landmark figure of 1000 completely sequenced genomes. Coupled with fast-declining, per-base sequencing costs, this influx of DNA sequence data has encouraged laboratory scientists to engage large datasets in comparative sequence analyses for making evolutionary, functional and translational inferences. However, the majority of the scientists at the forefront of experimental research are not bioinformaticians, so a gap exists between the user-friendly software needed and the scripting/programming infrastructure often employed for the analysis of large numbers of genes, long genomic segments and groups of sequences. We see an urgent need for the expansion of the fundamental paradigms under which biologist-friendly software tools are designed and developed to fulfill the needs of biologists to analyze large datasets by using sophisticated computational methods. We argue that the design principles need to be sensitive to the reality that comparatively small teams of biologists have historically developed some of the most popular biological software packages in molecular evolutionary analysis. Furthermore, biological intuitiveness and investigator empowerment need to take precedence over the current supposition that biologists should re-tool and become programmers when analyzing genome scale datasets.</p><p>Address of the bookmark: <a href="http://bioinformatics.oxfordjournals.org/content/23/14/1713.full" rel="nofollow">http://bioinformatics.oxfordjournals.org/content/23/14/1713.full</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist</guid>
	<pubDate>Fri, 02 Mar 2018 06:54:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist</link>
	<title><![CDATA[Python learning resources for bioinformatics and computational biologist !]]></title>
	<description><![CDATA[<p>Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries.</p><p>Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Many developers have also used Python to build productivity tools, games, and desktop apps, so there are plenty of resources to help you learn how to do those as well.</p><p>For pros and cons visit&nbsp;http://www.bestprogramminglanguagefor.me/why-learn-python and&nbsp;http://bioinformaticsonline.com/discussion/view/459/python-vs-perl</p><p>More resources at&nbsp;https://github.com/CodementorIO/Python-Learning-Resources</p><p>Following are the list of useful python programming resources:</p><ul>
<li><a href="http://www.oreilly.com/programming/free/20-python-libraries-you-arent-using-but-should.csp">20 Python Libraries You Aren't Using (But Should)</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="https://en.wikibooks.org/wiki/A_Beginner%27s_Python_Tutorial">A Beginner's Python Tutorial</a></li>
<li><a href="https://python.swaroopch.com/">A Byte of Python</a>&nbsp;(3.x) (HTML, PDF, EPUB, Mobi)</li>
<li><a href="https://github.com/RafeKettler/magicmethods">A Guide to Python's Magic Methods</a>&nbsp;- Rafe Kettler</li>
<li><a href="http://www.oreilly.com/programming/free/files/a-whirlwind-tour-of-python.pdf">A Whirlwind Tour of Python</a>&nbsp;- Jake VanderPlas (PDF)&nbsp;<a href="http://www.oreilly.com/programming/free/a-whirlwind-tour-of-python.csp?download=yes">(EPUB, MOBI)</a></li>
<li><a href="http://automatetheboringstuff.com/chapter0/">Automate the Boring Stuff</a>&nbsp;- Al Sweigart</li>
<li><a href="http://biopython.org/DIST/docs/tutorial/Tutorial.pdf">Biopython</a>&nbsp;(PDF)</li>
<li><a href="http://github.com/thewhitetulip/build-app-with-python-antitextbook">Build applications in Python the antitextbook</a>&nbsp;(3.x) (HTML, PDF, EPUB, Mobi)</li>
<li><a href="https://www.packtpub.com/packt/free-ebook/python-machine-learning-algorithms">Building Machine Learning Systems with Python</a>&nbsp;- Willi Richert &amp; Luis Pedro Coelho, Packt.&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://www.itmaybeahack.com/book/oodesign-python-2.1/latex/BuildingSkillsinOODesign.pdf">Building Skills in Object-Oriented Design (Python)</a>&nbsp;(PDF) (2.1.1)</li>
<li><a href="http://www.itmaybeahack.com/book/python-2.6/latex/BuildingSkillsinPython.pdf">Building Skills in Python</a>&nbsp;(PDF) (2.6)</li>
<li><a href="http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html">Code Like a Pythonista: Idiomatic Python</a></li>
<li><a href="https://www.codecademy.com/learn/python">CodeCademy Python</a></li>
<li><a href="http://composingprograms.com/">Composing Programs</a>&nbsp;(3.x)</li>
<li><a href="https://web.archive.org/web/20161016153130/http://www.brpreiss.com/books/opus7/html/book.html">Data Structures and Algorithms in Python</a>&nbsp;- B. R. Preiss (PDF)</li>
<li><a href="http://getpython3.com/diveintopython3/">Dive into Python 3</a>&nbsp;- Mark Pilgrim (3.0)
<ul>
<li><a href="http://www.diveintopython.net/">Dive into Python</a>&nbsp;- Mark Pilgrim (2.3)</li>
</ul>
</li>
<li><a href="http://www.labri.fr/perso/nrougier/from-python-to-numpy/">From Python to NumPy</a></li>
<li><a href="http://www.fullstackpython.com/">Full Stack Python</a></li>
<li><a href="http://www.oreilly.com/programming/free/functional-programming-python.csp">Functional Programming in Python</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://python.cs.southern.edu/pythonbook/pythonbook.pdf">Fundamentals of Python Programming</a>&nbsp;- Richard L. Halterman (PDF) (3.2)</li>
<li><a href="https://developers.google.com/edu/python/">Google's Python Class</a>&nbsp;(2.4 - 2.x)</li>
<li><a href="https://google.github.io/styleguide/pyguide.html">Google's Python Style Guide</a></li>
<li><a href="http://inventwithpython.com/hacking/chapters/">Hacking Secret Cyphers with Python</a>&nbsp;- Al Sweigart (3.3)</li>
<li><a href="http://www.oreilly.com/programming/free/hadoop-with-python.csp">Hadoop with Python</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://ianozsvald.com/HighPerformancePythonfromTrainingatEuroPython2011_v0.2.pdf">High Performance Python</a>&nbsp;(PDF)</li>
<li><a href="http://docs.python-guide.org/en/latest/">Hitchhiker's Guide to Python!</a>&nbsp;(2.6)</li>
<li><a href="http://www.oreilly.com/programming/free/files/how-to-make-mistakes-in-python.pdf">How to Make Mistakes in Python</a>&nbsp;- Mike Pirnat (PDF) (1st edition)</li>
<li><a href="http://interactivepython.org/courselib/static/thinkcspy/index.html">How to Think Like a Computer Scientist: Learning with Python, Interactive Edition</a>&nbsp;(3.2)
<ul>
<li><a href="http://www.greenteapress.com/thinkpython/thinkCSpy/">How to Think Like a Computer Scientist: Learning with Python</a>&nbsp;- Allen B. Downey, Jeff Elkner and Chris Meyers (2.4)</li>
<li><a href="http://www.greenteapress.com/thinkpython/">Think Python</a>&nbsp;- Allen B. Downey (2.x &amp; 3.0)</li>
</ul>
</li>
<li><a href="http://book.pythontips.com/en/latest/index.html">Intermediate Python</a>&nbsp;- Muhammad Yasoob Ullah Khalid (1st edition)</li>
<li><a href="http://opentechschool.github.io/python-beginners/en/">Introduction to Programming with Python</a>&nbsp;(3.3)
<ul>
<li><a href="http://python-ebook.blogspot.co.uk/">Introduction to Programming Using Python</a>&nbsp;- Cody Jackson (1st edition) (2.3)</li>
</ul>
</li>
<li><a href="http://kracekumar.com/post/71171551647/introduction-to-python">Introduction to Python</a>&nbsp;- Kracekumar (2.7.3)</li>
<li><a href="http://inventwithpython.com/chapters/">Invent Your Own Computer Games With Python</a>&nbsp;- Al Sweigart (3.1)</li>
<li><a href="http://learnpythonbreakpython.com/">Learn Python, Break Python</a></li>
<li><a href="https://learnxinyminutes.com/docs/python/">Learn Python in Y minutes</a></li>
<li><a href="http://learnpythonthehardway.org/book/">Learn Python The Hard Way</a>&nbsp;(2.5 - 2.6)</li>
<li><a href="https://www.ida.liu.se/~732A47/literature/PythonBook.pdf">Learn to Program Using Python</a>&nbsp;- Cody Jackson (PDF)</li>
<li><a href="https://www.packtpub.com/packt/free-ebook/learning-python">Learning Python</a>&nbsp;- Fabrizio Romano, Packt.&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://www.alan-g.me.uk/">Learning to Program</a></li>
<li><a href="https://github.com/jrjohansson/scientific-python-lectures">Lectures on scientific computing with python</a>&nbsp;- J.R. Johansson (2.7)</li>
<li><a href="http://inventwithpython.com/pygame/chapters/">Making Games with Python &amp; Pygame</a>&nbsp;- Al Sweigart (2.7)</li>
<li><a href="http://www.clips.ua.ac.be/sites/default/files/modeling-creativity.pdf">Modeling Creativity: Case Studies in Python</a>&nbsp;- Tom D. De Smedt (PDF)</li>
<li><a href="http://www.nltk.org/book/">Natural Language Processing with Python</a>&nbsp;(3.x)</li>
<li><a href="https://en.wikibooks.org/wiki/Non-Programmer%27s_Tutorial_for_Python_3">Non-Programmer's Tutorial for Python 3</a>&nbsp;(3.3)
<ul>
<li><a href="https://en.wikibooks.org/wiki/Non-Programmer%27s_Tutorial_for_Python_2.6">Non-Programmer's Tutorial for Python 2.6</a>&nbsp;(2.6)</li>
</ul>
</li>
<li><a href="http://www.oreilly.com/programming/free/from-future-import-python.csp">Picking a Python Version: A Manifesto</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://python3porting.com/">Porting to Python 3: An In-Depth Guide</a>&nbsp;(2.6 - 2.x &amp; 3.1 - 3.x)</li>
<li><a href="https://launchpadlibrarian.net/165489933/PracticalProgrammingPython2014.pdf">Practical Programming in Python</a>&nbsp;- Jeffrey Elkner (PDF)</li>
<li><a href="http://interactivepython.org/runestone/static/pythonds/index.html">Problem Solving with Algorithms and Data Structures using Python</a>&nbsp;- Bradley N. Miller and David L. Ranum</li>
<li><a href="http://programarcadegames.com/">Program Arcade Games With Python And Pygame</a>&nbsp;(3.3)</li>
<li><a href="http://programmingcomputervision.com/downloads/ProgrammingComputerVision_CCdraft.pdf">Programming Computer Vision with Python</a>&nbsp;(PDF)</li>
<li><a href="https://docs.python.org/2/download.html">Python 2 Official Documentation</a>&nbsp;(PDF, HTML, TEXT) (2.x)</li>
<li><a href="http://infohost.nmt.edu/tcc/help/pubs/python/web/">Python 2.7 quick reference</a>&nbsp;- New Mexico Tech (2.7)</li>
<li><a href="https://docs.python.org/3/download.html">Python 3 Official Documentation</a>&nbsp;(PDF, EPUB, HTML, TEXT) (3.x)</li>
<li><a href="http://chimera.labs.oreilly.com/books/1230000000393/index.html">Python Cookbook</a>&nbsp;- David Beazley</li>
<li><a href="https://github.com/jakevdp/PythonDataScienceHandbook">Python Data Science Handbook</a>&nbsp;- Jake VanderPlas (HTML, Jupyter Notebooks)</li>
<li><a href="http://www.kevinsheppard.com/images/0/09/Python_introduction.pdf">Python for Econometrics</a>&nbsp;- Kevin Sheppard (PDF) (2.7.5)</li>
<li><a href="http://py4e.com/book.php">Python for Everybody Exploring Data Using Python 3</a>&nbsp;- Charles Severance (PDF, EPUB, HTML)
<ul>
<li><a href="http://www.pythonlearn.com/book.php">Python for Informatics: Exploring Information</a>&nbsp;(2.7.5)</li>
</ul>
</li>
<li><a href="http://pymbook.readthedocs.org/en/latest/">Python for you and me</a>&nbsp;(2.7.3)</li>
<li><a href="http://pymbook.readthedocs.org/en/py3/">Python for you and me</a>&nbsp;(3.x)</li>
<li><a href="http://safehammad.com/downloads/python-idioms-2014-01-16.pdf">Python Idioms</a>&nbsp;(PDF)</li>
<li><a href="http://www.oreilly.com/programming/free/python-in-education.csp">Python in Education</a>&nbsp;<em>(Just fill the fields with any values)</em></li>
<li><a href="http://www.greenteapress.com/pythonhydro/pythonhydro.html">Python in Hydrology</a>&nbsp;- Sat Kumar Tomer</li>
<li><a href="https://github.com/gregmalcolm/python_koans">Python Koans</a>&nbsp;(2.7 or 3.x)</li>
<li><a href="https://pymotw.com/3/">Python Module of the Week</a>&nbsp;(3.x)
<ul>
<li><a href="https://pymotw.com/2/">Python Module of the Week</a>&nbsp;(2.x)</li>
</ul>
</li>
<li><a href="http://books.goalkicker.com/PythonBook/">Python Notes for Professionals</a>&nbsp;- Compiled from StackOverflow documentation (3.x)</li>
<li><a href="http://anandology.com/python-practice-book/index.html">Python Practice Book</a>&nbsp;(2.7.1)</li>
<li><a href="http://pythonpracticeprojects.com/">Python Practice Projects</a></li>
<li><a href="https://upload.wikimedia.org/wikipedia/commons/9/91/Python_Programming.pdf">Python Programming</a>&nbsp;(PDF) (2.6)</li>
<li><a href="http://scipy-lectures.github.io/">Scipy Lecture Notes</a></li>
<li><a href="http://www-inst.eecs.berkeley.edu/~cs61a/sp12/book/">SICP in Python</a>&nbsp;(3.2)</li>
<li><a href="http://www.briggs.net.nz/snake-wrangling-for-kids.html">Snake Wrangling For Kids</a>&nbsp;(3.x)</li>
<li><a href="http://python3porting.com/">Suporting Python 3: An In-Depth Guide</a>&nbsp;(2.6 - 2.x &amp; 3.1 - 3.x)</li>
<li><a href="http://chimera.labs.oreilly.com/books/1234000000754/index.html">Test-Driven Web Development with Python</a>&nbsp;(3.3 - 3.x)</li>
<li><a href="http://gnosis.cx/TPiP/">Text Processing in Python</a>&nbsp;- David Mertz (2.3 - 2.x)</li>
<li><a href="http://www.spronck.net/pythonbook/">The Coder's Apprentice: Learning Programming with Python 3</a>&nbsp;- Pieter Spronck (PDF) (3.x)</li>
<li><a href="http://www.jython.org/jythonbook/en/1.0">The Definitive Guide to Jython, Python for the Java Platform</a>&nbsp;- Josh Juneau, Jim Baker, Victor Ng, Leo Soto, Frank Wierzbicki (2.5)</li>
<li><a href="http://docs.quantifiedcode.com/python-anti-patterns/">The Little Book of Python Anti-Patterns</a>&nbsp;(<a href="https://github.com/quantifiedcode/python-anti-patterns">Source</a>)</li>
<li><a href="http://niche-canada.org/research/niche-digital-infrastructure-project/the-programming-historian/">The Programming Historian</a>&nbsp;- William J. Turkel, Adam Crymble and Alan MacEachern</li>
<li><a href="http://mirnazim.org/writings/python-ecosystem-introduction/">The Python Ecosystem: An Introduction</a></li>
<li><a href="http://python-gtk-3-tutorial.readthedocs.org/en/latest/">The Python GTK+ 3 Tutorial</a></li>
<li><a href="http://effbot.org/librarybook/">The Standard Python Library</a>&nbsp;- Fredrik Lundh</li>
<li><a href="http://greenteapress.com/complexity/">Think Complexity</a>&nbsp;- Allen B. Downey (2nd Edition) (PDF, HTML)</li>
<li><a href="http://web2py.com/book">Web2py: Complete Reference Manual, 6th Edition (pre-release)</a>&nbsp;(2.5 - 2.x)</li>
<li><a href="https://en.wikibooks.org/wiki/Python_Programming">Wikibooks: Python Programming</a>&nbsp;(2.7)</li>
</ul>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7753/jrf-pondicherry-university</guid>
  <pubDate>Fri, 03 Jan 2014 16:48:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF @ PONDICHERRY UNIVERSITY]]></title>
  <description><![CDATA[
<p>PONDICHERRY UNIVERSITY</p>

<p>CENTRE FOR BIOINFORMATICS</p>

<p>PUDUCHERRY</p>

<p>Applications are invited for one Project Assistant to work in the UGC sponsored Research Award "Molecular Docking and Dynamics studies to understand the interacting mechanism of oncogenic 101 protein with its cellular proteins".</p>

<p>The duration for the fellowship is 12months only with consolidated pay ofRs. 5,000 per month.</p>

<p>Application on plain paper with following details: Name, Address, Data of Birth, Father's Name, Nationality, Educational Qualification (SSLC onwards-enclose attested copies of certificate) and Researcb Experience may be addressed to Dr. R. Krishna, Principle Investigator (PI), UGC Research Award, Centre for Bioinformatics, Pondicherry University, Pondicherry - 605 014.</p>

<p>Application should reach in January 261h , 2013.</p>

<p>Essential Qualification: M.Sc. in Bioinformatics/Biophysics with good academic record.</p>

<p>Qualification for Project Fellow:</p>

<p>M.Sc in Bioinformatics/Biophysics.</p>

<p>The person to be considered for appointment as Project Fellow must have second class master degree with a minimum of 55% marks in the subject concerned or a related subject.</p>

<p>The candidate to be appointed as Project Fellows should be below thc age of40 years at the time of appointment.</p>

<p>Desirable Qualification for this Project: Research Experience in Small/Macromolecule Crystallography and Structural Bioinformatics.</p>

<p>For more details, refer the web site: www.pondiuni.edu.in/sites/default/files/BIC-311213.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36603/learning-python-programming-a-bioinformatician-perspective</guid>
	<pubDate>Mon, 14 May 2018 16:33:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36603/learning-python-programming-a-bioinformatician-perspective</link>
	<title><![CDATA[Learning Python Programming - a bioinformatician perspective !]]></title>
	<description><![CDATA[<p>Python Programming&nbsp;is a general purpose programming language that is open source, flexible, powerful and easy to use. One of the most important features of python is its rich set of utilities and libraries for data processing and analytics tasks. In the current era of big biological data, python and biopython is getting more popularity due to its easy-to-use features which supports big data processing.</p><p>In this tutorial series article, I will explore features and packages of python which are widely used in the big data, NGS, and bioinformatics. I will also walk through a real biological example which shows NGS data processing with the help of python packages and programming.</p><p>Python has a couple of points to recommend it to biologists and scientists specifically:</p><ul>
<li>It's widely used in the scientific community</li>
<li>It has a couple of very well designed libraries for doing complex scientific computing (although we won't encounter them in this book)</li>
<li>It lend itself well to being integrated with other, existing tools</li>
<li>It has features which make it easy to manipulate strings of characters (for example, strings of DNA bases and protein amino acid residues, which we as biologists are particularly fond of)</li>
</ul><p>In general, following are some of the important features of python which makes it a perfect fit for rapid application development.</p><ul>
<li>Python is interpreted language so the program does not need to be compiled. Interpreter parses the program code and generates the output.</li>
<li>Python is dynamically typed, so the variables types are defined automatically.</li>
<li>Python is strongly typed. So the developers need to cast the type manually.</li>
<li>Less code and more use makes it more acceptable.</li>
<li>Python is portable, extendable and scalable.</li>
</ul><p>There are two major Python versions, Python 2 and Python 3. Python 2 and 3 are quite different. This tutorial uses Python 3, because it more semantically correct and supports newer features.</p><p>I will post tutorial on daily basis on this page. Check the sub-pages on right side.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7998/faculty-positions-at-iiit-allahabad</guid>
  <pubDate>Thu, 23 Jan 2014 06:19:34 -0600</pubDate>
  <link></link>
  <title><![CDATA[FACULTY POSITIONS AT IIIT-ALLAHABAD]]></title>
  <description><![CDATA[
<p>OPENINGS OF FACULTY POSITIONS AT IIIT-ALLAHABAD</p>

<p>(Under Tenure-Track Model)</p>

<p>Open Advt. No IIITA/DIC/16012014</p>

<p>IIIT-Allahabad has several Openings for the Faculty positions at the Assistant Professor level.</p>

<p>It is a regular tenure-track faculty positions for 3-5 years in teaching and research. A regular faculty is expected to engage heavily in research and teaching. The eligibility criteria for regular faculty positions are similar as in IITs. For an Assistant Professor position, a candidate must have a PhD (in IT/Computer Science &amp;/or Engineering/Electrical, Electronics &amp;/or Communication Engineering/etc; for interdisciplinary areas the PhD may be in an appropriate field), plus three years experience. However, for PhDs from a well known University/Institute (e.g. IITs/IISc/TIFR/ISI in India or well known research universities across the world), and a good research/academic record, the 3 years experience requirement may be waived.</p>

<p>The pay scale for faculty is same as in IITs. Other benefits include initiation research grant, travel support, book grant, professional society membership, etc., and personal benefits such as medical/LTC, on campus subsidized family housing with excellent modern infrastructural facilities.</p>

<p>Areas of Interest</p>

<p>IIIT-Allahabad aims to build strong research groups in important and emerging areas in CS/IT/ECE as well as in emerging interdisciplinary areas, and applications are invited in all these areas. Some of the areas of special interest, besides strengthening the existing research areas, are : Software Engineering, Theoretical Computer Science, Cyber Physical Systems, Robotics, Network science, Digital Media, Computational neuroscience, Machine learning, Healthcare informatics, Computational Biology, Communications networks (both at hardware and protocol levels), Circuits (including VLSI, analog, low power, etc), Energy systems and technologies, Biomedical electronics and systems, Computer Architecture, signal/image processing, Embedded and control systems.</p>

<p>Application Process</p>

<p>Interested candidates can apply by sending their detailed CV with list of publications clearly mentioning Journal names and citation index with three references through email entitled “Faculty positions at IIIT Allahabad” to faculty.applications@iiita.ac.in. Do not send your applications in any other email addresses. Applications will be considered regularly, hence there is no deadline for applying.</p>

<p>Important Clarifications on Eligibility</p>

<p>A PhD in CS/IT (or other disciplines, as announced) is the minimum expected requirement for an Assistant Professor.</p>

<p>Advertisement: http://iiita.ac.in/pub/Faculty-Position-IIITA1.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39370/multiphate-bioinformatics-pipeline-for-functional-annotation-of-phage-isolates</guid>
	<pubDate>Thu, 16 May 2019 00:17:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39370/multiphate-bioinformatics-pipeline-for-functional-annotation-of-phage-isolates</link>
	<title><![CDATA[multiPhATE: bioinformatics pipeline for functional annotation of phage isolates]]></title>
	<description><![CDATA[<p><span>multiple-genome Phage Annotation Toolkit and Evaluator (multiPhATE). multiPhATE is a throughput pipeline driver that invokes an annotation pipeline (PhATE) across a user-specified set of phage genomes. This tool incorporates a&nbsp;</span><em>de novo</em><span>&nbsp;phage gene-calling algorithm and assigns putative functions to gene calls using protein-, virus-, and phage-centric databases.&nbsp;</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/carolzhou/multiPhATE" rel="nofollow">https://github.com/carolzhou/multiPhATE</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8198/scientist-positions-at-rajiv-gandhi-centre-for-biotechnology</guid>
  <pubDate>Thu, 06 Feb 2014 23:18:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist Positions at Rajiv Gandhi Centre for Biotechnology]]></title>
  <description><![CDATA[
<p>Rajiv Gandhi Centre for Biotechnology</p>

<p>An Autonomous National Institute under Government of India,<br />Ministry of Science &amp; Technology<br />Department of Biotechnology</p>

<p>No: RGCB/ Advt./2014/1   <br />January 24, 2014</p>

<p>Scientist Positions</p>

<p>Group Leader in Computational Biology/Bioinformatics<br />A highly motivated and innovative individual who will pursue basic research, solve biological problems with emphasis on computational and quantitative experimental methods and build active bridges to translational research. The scientist will also provide computational biology support to analyze complex data sets generated by RGCB scientists and collaborators.</p>

<p>Location: Thiruvananthapuram (Trivandrum)</p>

<p>The above positions will be at the E-II, F or equivalent levels. For senior applicants with an outstanding track record, an option of a contract career path for research excellence at Scientist G or H equivalent level can also be discussed. All positions will initially be for 5 years. Essential and desired qualifications as well as other relevant details for all the above positions are posted on the RGCB website (http://www.rgcb.res.in). The last date for receiving applications is March 14, 2014.   </p>

<p>Sd/-<br />Director</p>

<p>Rajiv Gandhi Centre for Biotechnology<br />Thycaud, P.O., Poojappura,<br />Thiruvananthapuram, Kerala, India-695 014<br />Ph.: 91-471-2529400 (30 Lines), 2347975, 2348104, 2348753, 2345899<br />Fax: 91-471-2348096, 2346333</p>

<p>More at http://rgcb.res.in/jobs.html</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40272/seq-a-high-performance-pythonic-language-for-bioinformatics</guid>
	<pubDate>Sat, 23 Nov 2019 08:58:12 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40272/seq-a-high-performance-pythonic-language-for-bioinformatics</link>
	<title><![CDATA[Seq: A high-performance, Pythonic language for bioinformatics]]></title>
	<description><![CDATA[<p>&nbsp;</p>
<p>Seq is a programming language for computational genomics and bioinformatics. With a Python-compatible syntax and a host of domain-specific features and optimizations, Seq makes writing high-performance genomics software as easy as writing Python code, and achieves performance comparable to (and in many cases better than) C/C++.</p>
<p>Learn more by following the&nbsp;<a href="https://github.com/seq-lang/seq/blob/master/docs/sphinx/tutorial.rst">tutorial</a>&nbsp;or from the&nbsp;<a href="https://github.com/seq-lang/seq/blob/master/docs/sphinx/cookbook.rst">cookbook</a>.</p><p>Address of the bookmark: <a href="https://seq-lang.org" rel="nofollow">https://seq-lang.org</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/8382/c-dac-launch-supercomputing-facility-param-bio-blaze</guid>
	<pubDate>Tue, 18 Feb 2014 11:55:14 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/8382/c-dac-launch-supercomputing-facility-param-bio-blaze</link>
	<title><![CDATA[C-DAC launch supercomputing facility "Param Bio Blaze" !!!]]></title>
	<description><![CDATA[<p>The bioinformatics centre at Centre for Development of Advanced Computing (C-DAC) completed 10 years, this month. Established in 2004, the centre has been widely used by numerous researchers across the globe and has an ultimate aim of making personalised drugs depending on the composition of a human body.<br /><br />When biological data is processed using computer science, statistics, mathematics and engineering, it constitutes bioinformatics. The technological advancements are bringing new dimensions to the understanding of molecular basis of living organisms. There is immense data generated due to computing, but storage and analysis of this data is becoming a challenge, therefore there is an urgent need of supercomputers.</p><p>The&nbsp;C-DAC will launch Param Bio Blaze, a supercomputing facility, to address the challenges in bioinformatics on Tuesday at a three-day symposium, titled: 'Accelerating biology: Computing life'. The supercomputing facility will be inaugurated on Tuesday by Ramakrishna Ramaswamy, vice-chancellor, Central University of Hyderabad at the Yashada. The new C-DAC's facility will have a capacity of 10 teraflop and will be able to analyse human cells and its functions.</p><p><img src="http://www.datacenterjournal.com/wp-content/uploads/2012/06/supercomputer.jpg" alt="image" width="1024" height="632" style="border: 0px; border: 0px;"></p><p><br />Param Bio Blaze will help have a larger storage space and better computing facility for the bioinformatics sector. The facility will help capture the movement of molecules and also interaction between two molecules and the effects.<br /><br />Applications of Param BioBlaze<br /><br />- Collaboration with National Centre for Cell Science for research on Malaria and understanding how the disease spreads<br /><br />- Collaborative work with Tata Memorial hospital on breast cancer and find out the difference between normal tissues and tissues from breast cancer patients<br /><br />- Designing anti-cancer molecules, a collaborative research with the University of Pune</p><p>Reference:</p><p>Times of India</p><p>Image:datacenterjournal.com</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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