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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/35534?offset=110</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40489/machine-learning-training-and-courses-in-bioinformatics</guid>
	<pubDate>Tue, 31 Dec 2019 19:33:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40489/machine-learning-training-and-courses-in-bioinformatics</link>
	<title><![CDATA[Machine learning training and courses in bioinformatics !]]></title>
	<description><![CDATA[<p>Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models and machine learning techniques. We will focus on probabilistic models (Markov models, Hidden Markov models, and Bayesian networks) for biological sequence analysis and systems biology. Other machine learning techniques, such as Naive bayes, neural networks and SVMs will only be covered briefly.</p>
<p>More at&nbsp;http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/</p>
<p>More tutorial at&nbsp;</p>
<p><a href="http://calla.rnet.missouri.edu/cheng_courses/mlbioinfo/mlbioinfo.htm">http://calla.rnet.missouri.edu/cheng_courses/mlbioinfo/mlbioinfo.htm</a></p>
<p><a href="http://www.raetschlab.org/lectures/MLBioinformatics">http://www.raetschlab.org/lectures/MLBioinformatics</a></p>
<p><a href="http://www.raetschlab.org/lectures/bertinoro08">http://www.raetschlab.org/lectures/bertinoro08</a></p>
<p>Book at&nbsp;</p>
<p><a href="https://personal.utdallas.edu/~pradiptaray/teaching/7_deep_learning_bioinfo.pdf">https://personal.utdallas.edu/~pradiptaray/teaching/7_deep_learning_bioinfo.pdf</a></p><p>Address of the bookmark: <a href="http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/" rel="nofollow">http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4178/phd-position-in-biochemistry-towards-bioinformatics-at-the-department-of-biochemistry-and-biophysics</guid>
  <pubDate>Tue, 03 Sep 2013 06:09:03 -0500</pubDate>
  <link></link>
  <title><![CDATA[PhD position in biochemistry towards bioinformatics at the Department of Biochemistry and Biophysics.]]></title>
  <description><![CDATA[
<p>PhD position in biochemistry towards bioinformatics at the Department of Biochemistry and Biophysics. Reference number: SU FV-2293-13. Deadline for application: September 10, 2013.</p>

<p>Project title: Functional Inference from Domain Architecture and Orthology</p>

<p>Requirements</p>

<p>To be accepted as a PhD student, credits corresponding to four years of full-time studies at the undergraduate level are required, including credits corresponding to at least two years of fulltime studies in chemistry, life sciences or physics, depending on the program. The credits should include courses at the advanced level (second cycle) corresponding to one year and of these one semester should be a degree thesis. In order to facilitate the evaluation of merits and suitability for the PhD studies the curriculum vitae (CV) should contain information about the extent and focus of the academic studies. The quantity (as part of an academic year) and the quality mark of courses in chemistry and physics are of particular interest. The title, number of credits and the length in full-time months of undergraduate thesis and project work, should be specified.</p>

<p>Information</p>

<p>More information about the project can be provided by the project leader. General information about the PhD training program may be requested from the director of graduate studies, Stefan Nordlund, stefan@dbb.su.se or from Lena Mäler, Head of Department (prefekt), lenam@dbb.su.se</p>

<p>Further information on the web:</p>

<p>The Department of Biochemistry and Biophysics: www.dbb.su.se</p>

<p>Stockholm University: www.su.se/english</p>

<p>Faculty of Science: www.science.su.se/english</p>

<p>The handbook for postgraduate students: www.doktorandhandboken.nu/english</p>

<p>Application The application should contain a personal letter (a letter of intent explaining why you are interested in the specific project, why you are interested in studying for a PhD, what you hope to accomplish during your PhD studies, and what skills you can bring to this project), a curriculum vitae, a list of two persons who may act as referees (with telephone numbers and e-mail addresses), copies of degree certificates and transcripts of academic records, and a copy of your undergraduate thesis and articles, if any.</p>

<p>In order to apply for this position, please use the Stockholm University web-based application form (where it is possible to select language):</p>

<p>To the application form for this position.</p>

<p>Welcome with your application no later than September 10, 2013.</p>

<p>Project leader: Erik Sonnhammer, Erik.Sonnhammer@sbc.su.se,<br />www.sonnhammer.sbc.su.se</p>

<p>Advertisement: http://www.su.se/english/about/vacancies/phd-studies/phd-position-in-biochemistry-towards-bioinformatics-1.143446</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42263/data-steward-research-development-specialist-at-at-the-luxembourg-centre-for-systems-biomedicine-lcsb</guid>
  <pubDate>Sun, 25 Oct 2020 22:36:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[Data Steward / Research &amp; Development Specialist at at the Luxembourg Centre for Systems Biomedicine (LCSB)]]></title>
  <description><![CDATA[
<p>Applications should be addressed online to: Prof. Dr. Reinhard Schneider, Head of the Bioinformatics Core Facility</p>

<p>For further information, please contact: Dr. Pinar Alper (pinar.alper@uni.lu)</p>

<p>Applications should be submitted online and include:</p>

<p>A detailed curriculum vitae<br />Cover letter mentioning the reference number<br />List of publications/software projects<br />Description of past experience and future interests<br />Names and addresses of three referees<br />Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered.</p>

<p>*gn=gender neutral.</p>

<p>More at https://recruitment.uni.lu/en/details.html?nPostingId=54616&amp;nPostingTargetId=74219&amp;id=QMUFK026203F3VBQB7V7VV4S8&amp;LG=UK&amp;mask=karriereseiten&amp;sType=Social%20Recruiting</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/2931/senior-bioinformatics-programmer-and-srf-at-biotech-park-lucknow</guid>
  <pubDate>Fri, 23 Aug 2013 04:55:51 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Bioinformatics Programmer and SRF at  BIOTECH PARK Lucknow]]></title>
  <description><![CDATA[
<p>BIOTECH PARK</p>

<p>Advt. No. 3 (8)/BP/13</p>

<p>A walk-in-interview will be held in the Biotech Park Office at Sector G, Jankipuram, Kursi Road, Lucknow (U.P.) August 27, 2013 at 11.00 a.m. for the following posts of DBT sponsored project tenable at Biotech Park. Interested candidates fulfilling the requisite qualifications, experience and age as given below, may appear on the date of interview, before the Selection Committee. The candidate will have to join immediately.</p>

<p>INTERVIEW ON August 27, 2013 at 11.00 A.M.</p>

<p>2. SENIOR PROGRAMMER (ONE POST)</p>

<p>a)  Educational Qualification M.Sc. Bioinformatics with minimum 60% marks with two years of relevant experience or B.Tech. Bioinformatics or Biotechnology with minimum 60% marks with two years experience in Bioinformatics.</p>

<p>b) Job Requirement Development of databases in multi user environment and application softwares, maintenance of website, Drug designing and QSAR study etc.</p>

<p>c) Desirable Knowledge of Bioinformatics tools, Windows, Linux, C++, JAVA / JAVA Script, Visual Basic, CGI, DBMS/RDBMS and HTML. Experience in various domains of bioinformatics such as structure based drug designing, Newtonian dynamics and OSAR studies.</p>

<p>d)  Age  Below 35 years (as on the date of interview)</p>

<p>e) Emoluments  Rs. 12,000/- per month fixed.</p>

<p>Appointment will be made initially for one year extendable on satisfactory performance till the duration of the project.</p>

<p>3. SENIOR RESEARCH FELLOW: (ONE POST)</p>

<p>a)  Educational Qualification M.Sc. in Biotechnology/Botany with minimum 60% marks and knowledge of handling database &amp; database searching.</p>

<p>b) Essential Qualification Expertise in windows, Microsoft excel.</p>

<p>c) Desirable Good knowledge of statistical software packages like SPSS.</p>

<p>d) Age Below 35 years ( as on the date of interview)</p>

<p>e) Job Requirement: Management of database &amp; website in multi user environment, computation of biological field data and generation of reports.</p>

<p>f) Emoluments</p>

<p>18000+ HRA for Net/GATE qualified<br />14000+ HRA for others</p>

<p>The appointment will be made till the duration of project.</p>

<p>Note: All the candidates should report for interview on or before 10.45 A.M.</p>

<p>General Conditions</p>

<p>    The aforesaid positions are purely temporary and do not give the incumbent any right whatsoever for appointment on regular basis.<br />    More Advertisement: http://www.biotechpark.org.in/html/jobs%20in%20Biotech%20Park/Job_2013_04.htm</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/42141/dbt-biotechnology-eligibility-test-bet-2020</guid>
	<pubDate>Fri, 21 Aug 2020 09:17:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/42141/dbt-biotechnology-eligibility-test-bet-2020</link>
	<title><![CDATA[DBT BIOTECHNOLOGY ELIGIBILITY TEST (BET) 2020]]></title>
	<description><![CDATA[<p><span>Ministry of Science &amp;Technology, Govt. of India</span></p><p><span>DBT-Junior Research Fellowship (DBT-JRF) in Biotechnology (2020)</span></p><p><span><span>BIOTECHNOLOGY ELIGIBILITY TEST (BET) 2020</span></span></p><p>Applications are invited from bonafide Indian citizens, residing in India for award of &ldquo;DBT-Junior Research Fellowship&rdquo; (DBT-JRF) for pursuing research in frontier areas of Biotechnology and Life Sciences. The candidates will be selected through &ldquo;Biotechnology Eligibility Test (BET)&rdquo;. Based on the performance in BET, two categories of merit list will be prepared (Category-I and Category-II). Government of India norms for reservation will be followed for selection. Candidates selected under category-I will be eligible to avail fellowship under the programme. These will be tenable at any University/Institute in India where the selected candidate registers for PhD Programme. Candidates selected under Category-II will be eligible to be appointed in any DBT sponsored project and avail fellowship from the project equivalent to NET/GATE, subject to selection through institutional selection process. There will be no binding on Principal Investigators of DBT sponsored projects to select JRF for their project from category-II list. Selection in category-II will not entitle student for any fellowship from DBT-JRF programme.</p><p><span>ELIGIBILITY</span></p><p><span>Qualification</span>: M.Sc./ M.Tech./ M.V.Sc. or equivalent degree/ Integrated BS-MS/ B.E./ B.Tech. in any discipline of&nbsp;<a href="https://www.biotecnika.org/category/jobs/biotech-jobs/">Biotechnology</a>, M.Sc./ M.Tech. Bioinformatics/ Computational Biology, students admitted under DBT supported Postgraduate Teaching Programs. M.Sc. Life Science/ Bioscience/ Zoology/ Botany/ Microbiology/ Biochemistry/ Biophysics and Masters in Allied areas of Biology/Life Sciences. Candidates appearing in the final year examination are also eligible to apply.</p><p><span>Marks</span>: Minimum 60% marks for General, EWS &amp; OBC category and 55% for SC/ ST/ Differently abled in aggregate (or equivalent grade).</p><p><span>Age Limit</span>: Upto 28 years as on the last date of application for General &amp; EWS category. Age relaxation of up to 5 years (33 years) for SC/ ST/ Differently Abled/ women candidates and upto 3 years (31 years) for OBC (Non-Creamy Layer) candidates.</p><p>For detailed procedure for filling the application form, payment of application fee and uploading of required documents/ certificates in the prescribed format, please visit:&nbsp;<span><a href="http://rcb.res.in/BET2020" target="_blank">http://rcb.res.in/BET2020</a></span>. A non-refundable and non-transferable application fee of Rs. 1000/-is payable online by General/ OBC/ EWS candidates and Rs 250/- by SC/ ST/ Differently abled candidates.</p><p><span>IMPORTANT DATES</span></p><table width="691">
<tbody>
<tr>
<td>Online Registration Start</td>
<td><span>April 20, 2020</span></td>
</tr>
<tr>
<td>Online Registration Close</td>
<td><span>May 18, 2020</span></td>
</tr>
<tr>
<td>BET 2020</td>
<td><span>June 30, 2020 (Tuesday)* Tentative</span></td>
</tr>
<tr>
<td>Display of question paper and answer key on website</td>
<td><span>June 30, 2020</span></td>
</tr>
<tr>
<td>Last date of accepting representation of any discrepancy in Question paper &amp; Answer key</td>
<td><span>July 03, 2020</span></td>
</tr>
<tr>
<td>Declaration of BET 2020 Result</td>
<td><span>July 20, 2020</span></td>
</tr>
</tbody>
</table>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4042/a-brief-introduction-to-genetics</guid>
	<pubDate>Wed, 28 Aug 2013 06:49:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4042/a-brief-introduction-to-genetics</link>
	<title><![CDATA[A Brief Introduction to Genetics]]></title>
	<description><![CDATA[<iframe src="http://player.vimeo.com/video/20898800?byline=0" width="" height="" frameborder="0" webkitAllowFullScreen allowFullScreen></iframe>A Brief Introduction to Genetics is a short documentary film that explores the history of genetics & genomics and the underlying concepts that provide the foundational knowledge that today's research is built upon. The film describes the history of genetics, from Gregor Mendel, to concepts such as DNA and the genetic code. Having introduced the fundamental ideas of genetics, the film moves on to describe the current techniques used to study genetics. Finally, the film explores the connection of these core concepts to genomics and bioinformatics.]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42187/scientist-b-at-aiims-new-delhi-delhi</guid>
  <pubDate>Thu, 03 Sep 2020 07:04:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[Scientist B at AIIMS, New Delhi, Delhi]]></title>
  <description><![CDATA[
<p>Scientist B at AIIMS, New Delhi, Delhi</p>

<p>Overview<br />Applications are invited from eligible candidates for the following position under Meity funded research project entitled: Artifical Intelligence in Oncology, Harnsessing big data and advanced computing to provide personalized diganosis and treatment for cancer patients purely on contractual basis</p>

<p>Scientist B</p>

<p>Salary: Rs.80,000/-</p>

<p>Qualification: 1st Class Masters Degree in Bioinformatics/ Computer Science/ Statistics with Ph.D in relevant subject from a recognized University with experience in Machine learning/ AI project plus two years research experience</p>

<p>Age: Upto 40 years</p>

<p>Details<br />Experience:2 Years<br />Location:New Delhi<br />Education:1st Class Masters Degree<br />SALARY: Rs.80,000/-<br />Key Skills: Research Fellowship<br />Desired Profile<br />Two years research experience</p>

<p>Company: AIIMS<br />All India Institute of Medical Sciences, New Delhi is a medical school, hospital and public medical research university</p>

<p>More at https://www.aiims.edu/en/notices/recruitment/aiims-recruitment.html?id=10844<br />PDF https://www.aiims.edu/images/pdf/recruitment/advertisement/Post_BioChem_22_08_20.PDF</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4108/tijana-milenkovic-lab</guid>
  <pubDate>Fri, 30 Aug 2013 06:45:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Tijana Milenkovic Lab]]></title>
  <description><![CDATA[
<p>Complex networks and network mining: developing graph theoretic, mathematical, and computational algorithms for efficient extraction of function from topology of complex real-world networks, such as biological, social, and technological networks.</p>

<p>Computational and systems biology: studying the interplay between network topology and biological function, disease, and evolution in molecular (e.g., protein-protein interaction) networks.</p>

<p>Computational chemistry: protein folding; computational drug discovery and design.</p>

<p>Synthetic biology.</p>

<p>More at http://www.cse.nd.edu/~tmilenko/index.html</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42265/doctoral-researcher-phd-in-computational-biology-biostatistics-at-luxembourg-centre-for-systems-biomedicine-lcsb</guid>
  <pubDate>Sun, 25 Oct 2020 22:59:54 -0500</pubDate>
  <link></link>
  <title><![CDATA[Doctoral researcher (PhD) in Computational Biology / Biostatistics at Luxembourg Centre for Systems Biomedicine (LCSB)]]></title>
  <description><![CDATA[
<p>Contract Type: Fixed Term Contract<br />Work Hours: Full Time 40.0 Hours per Week<br />Location: Belval<br />Student and employee status (36 months studies programme, as per university standards) with project funding available for up to 48 months<br />36 months fixed-term contract (renewable depending on thesis progress evaluation)<br />Job Reference: UOL03604<br />Further Information<br />Applications should be submitted online and include:</p>

<p>A detailed Curriculum vitae<br />A motivation letter, including a brief description of past research experience and future interests, as well as the earliest possible starting date<br />Copies of degree certificates and transcripts<br />Name and contact details of at least two referees<br />Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered.</p>

<p>*gn=gender neutral.</p>

<p>More at https://recruitment.uni.lu/en/details.html?id=QMUFK026203F3VBQB7V7VV4S8&amp;nPostingID=54876&amp;nPostingTargetID=74639&amp;mask=karriereseiten&amp;lg=UK</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4234/ncbi-psi-blast-tutorial</guid>
	<pubDate>Wed, 04 Sep 2013 11:46:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4234/ncbi-psi-blast-tutorial</link>
	<title><![CDATA[NCBI PSI-BLAST Tutorial]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/T3kHEieyylk" frameborder="0" allowfullscreen></iframe>http:--www.biotechnology.jhu.edu-
Tutorial for PSI-BLAST, an extension of BLAST that uses matrix algebra. BLAST is a cornerstone bioinformatics tool at NCBI. BLAST is the
Basic Local Alignment Search tool and will protein and DNA sequences that
are related to a sequence that the user provides.]]></description>
	
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