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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/2699?offset=160</link>
	<atom:link href="https://bioinformaticsonline.com/related/2699?offset=160" rel="self" type="application/rss+xml" />
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7213/postdoctoral-position-bioinformaticscomputational-biology</guid>
  <pubDate>Thu, 12 Dec 2013 17:58:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Position (Bioinformatics/Computational Biology)]]></title>
  <description><![CDATA[
<p>University College Cork<br />LAPTI<br />Cork-Co Cork-Ireland</p>

<p>Postdoctoral position is available for three years to work on development of Bioinformatics resources for the analysis and visualization of ribosome profiling data. Ribosome profiling (ribo-seq) is a technology that allows mapping positions of the ribosomes on the whole transcriptome level with a nucleotide precision. The technology allows obtaining high resolution digital snapshots of gene expression in cells. The position is available starting on the 1st of October, 2013.</p>

<p>Candidate is expected to have Ph.D. in Bioinformatics or Computational Biology. Candidates with the degree in non-Biological disciplines such as Computer Science, Statistics, Applied Mathematics, Physics or Electrical Engineering will also be considered.</p>

<p>The position is available at LAPTI (http://lapti.ucc.ie) that is located in the Western Gate Building (http://www.stwarchitects.com/project-information.php?c=1&amp;p=09993) at University College Cork. Western Gate Building Research Complex hosts several UCC departments and provides ideal environment for interdisciplinary research. Cork (sometimes referenced as “Venice of Ireland”) is the second most populous city in the Republic. It has friendly cosmopolitan atmosphere and vibrant culture. A number of American industrial giants such as Apple , EMC and Pfizer have chosen Cork as a home for their European headquarters.</p>

<p>The details of the application process are given at http://lapti.ucc.ie/jobs.html. To ensure prompt processing of your application use the subject line: ‘Postdoc computational’. All applications received prior to August the 1st are guaranteed equal consideration. However, applications at the later dates will also be considered until the position is filled.</p>

<p>For more info visit http://lapti.ucc.ie</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9675/application-scientist-in-strand-lifesciences-bangalore</guid>
  <pubDate>Mon, 07 Apr 2014 08:17:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Application Scientist in Strand LifeSciences Bangalore]]></title>
  <description><![CDATA[
<p>Job Description<br />We are looking for a motivated application scientist to help evaluate, compare, and develop next generation sequencing (NGS) data analysis methods. The successful candidate should be able to quickly understand the state-of-art computational biology techniques, prototype them and perform benchmarking studies. The candidate must also be comfortable working with people from different disciplines and be able to present data analysis results in a clear and effective manner. The candidate is also expected to interact with customers as needed, write technical reports and publish new methods and/or data analysis findings in public forums.</p>

<p>Candidate Requirements:<br />A PhD in computer science, computational biology, Bioinformatics, or a related field, along with sufficient programming skills for prototyping. Experience with next generation sequencing data analysis is required. Candidates with MS degree but with relevant work experience can also be considered. </p>

<p>To Apply<br />To apply, please send your updated CV and cover letter to Dr. Rohit Gupta (rohit@strandls.com). </p>

<p>Source: http://www.strandls.com/application-scientist</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7999/senior-research-fellow-indian-agricultural-statistics-research-institute</guid>
  <pubDate>Thu, 23 Jan 2014 06:22:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow @ Indian Agricultural Statistics Research Institute]]></title>
  <description><![CDATA[
<p>Indian Agricultural Statistics Research Institute<br />Library Avenue, Pusa, New Delhi – 110012</p>

<p>Walk-in-Interview</p>

<p>Walk-in-interview will be held on February 11, 2014 at 10:00 A.M. at IASRI, New Delhi for a project “Whole Genome Sequencing and Development of Allied Genomics Resources in Two Commercially Important Fish-Labeo rohita and Clarias batrachus” funded by Department of Biotechnology, Ministry of Science and Technology, Government of India, New Delhi for the following posts. The appointment will be on contractual basis upto September, 2016 or till the termination of the project whichever is earlier and the incumbent shall not have any claim for regular appointment under ICAR.</p>

<p>Senior Research Fellow Two</p>

<p>Post-Graduation in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application/ Biotechnology or equivalent with 1st Division</p>

<p> Knowledge of Statistical Analysis /Bioinformatics tools/computer programming for computational genomics.</p>

<p>Emoluments for Research Associate: Consolidated Rs: 16000/- per month + 30% HRA (1st Two years) and Rs: 18000/- per month + 30% HRA (3rd Year)</p>

<p>Age Limit: Age should be not more than 35 years (5 years relaxation for SC/ST/women candidates and 3 years for OBC candidates as on date of interview).<br />Interested candidates are requested to appear for Walk-in-Interview on the date and time as specified above in Room No. 106, Training Cum Administrative Block of the Institute along with their application giving bio-data with attested copies of certificates, degrees, testimonials, etc. and one passport size photograph. Original certificates/ Degrees are needed to be produced at the time of interview. No T.A. /D.A. will be paid for appearing in the interview.</p>

<p>Advertisement: http://www.iasri.res.in/employment/2014/srf_cabin.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8108/jrf-institute-of-cytology-preventive-oncology</guid>
  <pubDate>Sat, 01 Feb 2014 13:47:29 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF @ Institute of Cytology &amp; Preventive Oncology]]></title>
  <description><![CDATA[
<p>Institute of Cytology &amp; Preventive Oncology (ICPO) which was initially established as Cytology Research Centre ( CRC ) by the Indian Council of Medical Research (ICMR) in 1979, came into the existence in 1989 when CRC was elevated to the level of Institute. ICPO was instituted with the main aim of promoting research in the field of cancers that are most prevalent in India with an emphasis on their early detection and prevention.</p>

<p>Candidates having the below mentioned qualifications may appear for Walk in Interview at ICPO on 5th Feb 2014 between 10.00 AM and 12.00 PM under the NIF project entitled "Prediction of drug tragets of chemical constituents present within non-codified medicinal plants" under Dr Subhash M.Agarwal, Scientist C</p>

<p>    Position : JRF<br />    No of Post : One<br />    Pay : Rs 12000/- + 30% HRA </p>

<p>    Desired Profile : M.Sc in Bioinformatics with good academic record. Candidate with experience in database development and scripting would be preferred<br />    Age Limit : Below 28 years<br />    Period : 2 months</p>

<p>Interested candidates may send their applications with bio-data by email (smagarwal@gmail.com) or post addressed to Dr Subhash M Agarwal, Scientist C, Bioinformatics Division, Institute of Cytology and Preventive Oncology (ICPO) I-7, Sector 39, Noida-201301 so as to reach latest by 04.02.14</p>

<p>Deadline : 04.02.14</p>

<p>http://icmr.nic.in/icmrnews/icpo_jrf.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/8385/peng-lab</guid>
  <pubDate>Tue, 18 Feb 2014 13:53:46 -0600</pubDate>
  <link></link>
  <title><![CDATA[Peng Lab]]></title>
  <description><![CDATA[
<p>Peng Lab at Janelia Farm Research Campus, Howard Hughes Medical Institute focuses on data mining for bioinformatics and computational molecular biology, particularly, bioimage data mining and informatics. These bioimages include cellular and molecular images and related medical images. </p>

<p>* Analysis of Gene Expression Pattern Images: high-performance image analysis and mining for different model organisms, such as fruitfly, C. elegans, and mouse;<br />* Feature/Model Learning: developing algorithms and software</p>

<p>Location :Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA.</p>

<p>http://research.janelia.org/peng/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8442/assistant-professor-king-saud-university-riyadh</guid>
  <pubDate>Fri, 21 Feb 2014 05:57:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor @ King Saud University Riyadh]]></title>
  <description><![CDATA[
<p>Qualifications: Candidates must have a Ph.D. and a strong background in Molecular and Cellular Biology, protein expression, FACS, or computational biology, and ability to work collaboratively.</p>

<p>This position will have a significant focus on providing analytical support for next generation sequencing data analysis – Exome-sequencing, Targetted sequencing as well as high-throughput genotyping on Illumina platform.</p>

<p>Job location:</p>

<p>Genome Research Chair<br />King Saud University, Riyadh-11451<br />KSA</p>

<p>Interested candidate may forward their CV to grcksu@gmail.com</p>
]]></description>
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	<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>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8466/srf-position-in-computational-systems-biology-computational-biology-group-iiit-delhi</guid>
  <pubDate>Sun, 23 Feb 2014 20:56:08 -0600</pubDate>
  <link></link>
  <title><![CDATA[SRF position in Computational Systems Biology Computational biology Group, IIIT-Delhi]]></title>
  <description><![CDATA[
<p>An opportunity to perform research in DST supported project that involves building of mathematical models to understand the functional relationship between circadian rhythms and memory formation under stressful condition.  In this project, mathematical model of circadian rhythms based on gene regulatory mechanisms will be unified with the mathematical model of calcium signal transduction pathway to understand and predict the formation of fear memory under stressful conditions. The research scholar will spend full time on this project to build new models and expected to contribute significantly to prepare the results for publication and presentation, and to contribute to grant proposals. </p>

<p>Required Qualifications: Masters in physics/chemistry/mathematics (or) MTech in bioengineering, chemical (or) Masters in any traditional field of science with outstanding performance throughout the program. Candidate should have cleared GATE/UGC-CSIR examinations. Applicant should have done basic mathematics courses like calculus, differential equations, numerical analysis etc in their degree program and have obtained good grades in those courses. Knowledge of MATLAB and C or at least one traditional programming language is absolutely necessary. Strong inclination to understand biological concepts is a must for this research work as this project is about modeling biological systems.     </p>

<p>Salary: A fixed salary of Rs 18000 PM including HRA will be paid. </p>

<p>Last date for application: This advertisement is open until suitable candidate is found for the project. </p>

<p>Preferred Qualifications:  - Expertise in dynamical systems theory, bifurcation theory, numerical simulations, parameter estimation. </p>

<p>Independence and high motivation for carrying out interdisciplinary research. - Excellent communication skills and ability to work independently. - Good working habits. </p>

<p>Interested candidates should submit both curriculum vitae and statement of interest in PDF format to sriramk@iiitd.ac.in and should clearly mention in the subject "Application for SRF".</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/12868/landry-lab</guid>
  <pubDate>Thu, 17 Jul 2014 14:33:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Landry Lab]]></title>
  <description><![CDATA[
<p>EVOLUTIONARY AND INTEGRATIVE CELL BIOLOGY</p>

<p>Our research is at the crossroad between cell biology, ecological genomics, systems biology, molecular evolution and population genetics. We study the architecture and evolution of protein and signalling networks.</p>

<p>More at http://landrylab.ibis.ulaval.ca/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/8970/j-aires-de-sousa-research-group</guid>
  <pubDate>Wed, 12 Mar 2014 09:57:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[J. Aires de Sousa Research Group]]></title>
  <description><![CDATA[
<p>We are involved in the development of methods and software in chemoinformatics. Current main projects are:</p>

<p>1.automatic learning of chemical reactivity and metabolism,<br />2.simulation of NMR spectra,<br />3.modelling of properties of ionic liquids, and<br />4.representation of molecular chirality.</p>

<p>More at http://joao.airesdesousa.com/</p>
]]></description>
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