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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41924/senior-scientist-bioinformatics-it-at-regional-centre-for-biotechnology</guid>
  <pubDate>Tue, 30 Jun 2020 22:04:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Scientist (Bioinformatics/ IT) at Regional Centre for Biotechnology]]></title>
  <description><![CDATA[
<p>Regional Centre for Biotechnology</p>

<p>An Institution of National Importance established by Dept. of<br />Biotechnology, Govt. of India Under the auspices of UNESCO</p>

<p>Advertisement No. RCB/IBDC/01/2020/Recruitment/HR</p>

<p>Recruitment For Contractual Positions Under The Project<br />Indian Biological Data Centre (IBDC) Phase-1</p>

<p>Regional Centre for Biotechnology (RCB) invites online applications from suitably qualified, dynamic, result-oriented and dedicated candidates for the following positions under the project Indian Biological Data Centre (BIDC) Phase-1 on contract basis:</p>

<p>Industry: Biotechnology</p>

<p>Location: Faridabad (Haryana, India)</p>

<p>Project Head - 1</p>

<p>Senior Scientist (Bioinformatics/ IT) - 1</p>

<p>For other details, visit: www.rcb.res.in. Last date for receipt of online application is 18th July 2020.</p>

<p>Registrar</p>

<p>Regional Centre for Biotechnology<br />Faridabad-Gurgaon Expressway,<br />Faridabad - 121001</p>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41905/research-associate-bioinformatics-in-iisc-recruitment-2020</guid>
  <pubDate>Tue, 23 Jun 2020 21:53:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics in IISc Recruitment 2020]]></title>
  <description><![CDATA[
<p>Research Associate Bioinformatics in IISc Recruitment 2020</p>

<p>Essential Qualifications: Ph.D. (Bioinformatics/ Biophysics/ Biotechnology or any other stream of biological/ physical sciences) with a minimum of two publications in reputed peer reviewed journals in the area of structural bioinformatics or biophysics or biomolecular modeling/ simulation.</p>

<p>Job description: Development of bioinformatics tools and algorithms/software for structure based analysis of biomolecular systems. Programmatic access to major biomolecular databases using APIs Knowledge based prediction and analysis of biomolecular structure, function and interactions. Docking/simulations for inhibitor design.</p>

<p>Desirable Qualifications (Research Associate/s): i)  Strong computer programming skills (in Python/PERL/PHP or C++ or object oriented database management systems like MySQL etc or scripting languages under LINUX/UNIX environment). </p>

<p>ii) Extensive experience in computational analysis of biomolecular structure/interactions and usage of advanced biomolecular simulation softwares. iii) Adequate knowledge of major databases, webservers and softwares in the area of biomolecular structure/function and drug design. iv)  Familiarity with Parallel Programming environments and experience in usage of high-end HPC clusters.</p>

<p>The candidates must highlight their experience in above mentioned fields/topics in their CV. Initial appointment will be for a period of 1 year, subject to extension after review of performance.</p>

<p>Emoluments: As per DST, GOI norms and commensurate with experience.</p>

<p>More at https://www.iisc.ac.in/positions-open/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41899/stay-at-home-revbayes-workshop</guid>
  <pubDate>Sat, 20 Jun 2020 11:53:24 -0500</pubDate>
  <link></link>
  <title><![CDATA[Stay-at-Home RevBayes Workshop]]></title>
  <description><![CDATA[
<p>Stay-at-Home RevBayes Workshop<br />Location: Anywhere (online-only event)<br />Dates: 7/13, 2020 to 8/12, 2020<br />Instructors: Joëlle Barido-Sottani, Walker Pett, Josh Justison, Wade Dismukes, Luiza Fabreti, Tracy Heath, Jeremy M. Brown, Rosana Zenil-Ferguson<br />Register: https://iastate.qualtrics.com/jfe/form/SV_02sCYRWbxYK9I5D</p>

<p>Description<br />This free online-only RevBayes workshop will provide an introduction to the theory and use of RevBayes, with a focus on (1) tree inference from molecular data, (2) analyses combining fossil and extant taxa, and (3) evaluating MCMC performance, with advanced topics including assessing model adequacy and macroevolutionary analyses. Additional topics may be added depending on the interests of selected participants. The format will be a combination of interactive video sessions (via Zoom or similar tools), real-time discussions over Slack, self-guided tutorials, and pre-recorded videos.</p>

<p>The initial session will resolve technical issues and present the basics of using RevBayes. Participants will then be expected to work through several tutorials on their own schedule, with the help of pre-recorded materials. A Slack forum will be open for questions and issues. The workshop will conclude with several online Q&amp;A sessions with the instructors. The dates for the interactive sessions are currently tentative and may be adjusted depending on the schedules of the participants and instructors.</p>

<p>We are hoping to identify up to 15 participants for this online course. While we hope we are able to accommodate everyone who applies, we realize that this may not be possible because of time-zones and availability. If the number of applicants exceeds our capacity, we hope to organize a second round of sessions later in the year. Participants will not be charged for the course, but we will request that they commit to completing the tutorials and attending a majority of interactive sessions.</p>

<p>To apply to this course, please go to the registration form and submit your application by July 6, 2020.</p>

<p>More at https://revbayes.github.io/workshops/online2020.html</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41394/ngsymposium-in-computational-biology</guid>
  <pubDate>Mon, 09 Mar 2020 06:00:30 -0500</pubDate>
  <link></link>
  <title><![CDATA[NGSymposium in Computational Biology]]></title>
  <description><![CDATA[
<p>We have a great pleasure to invite you to the NGSymposium in Computational Biology to celebrate the 5th anniversary of the NGSchool Summer Schools. This international conference will make way for exchanging knowledge and experiences between experienced and early-stage researchers as well as bioinformaticians. The meeting will be held on 31.07 - 1.08.2020 in Warsaw. It will be a satellite event to the #NGSchool2020: Statistical Learning in Genomics. It will cover a wide range of topics from basic and applied biomedical sciences: bioinformatics, genomics, transcriptomics, computational biology, Machine Learning.</p>

<p>Registration of active participants will be open from February, 27 12 PM CET to April 17, 23:59 CET. In registration forms you will be asked for providing us with some basic information about yourself. You will also be able to submit your abstract. You can save your registration form after filling it partially and come back later to supply more data e.g. upload an abstract. Your registration will be completed only with the payment of the registration fee reaching our accounts - please make sure to transfer the money in advance!</p>

<p>Registration of passive participants will be open after closing of registration of active participants.</p>

<p>Details an registration: https://ngschool.eu/conference/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41231/phd-student-bio-informatician-in-computational-protein-modeling</guid>
  <pubDate>Sun, 23 Feb 2020 03:46:46 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD student / Bio-informatician in computational protein modeling]]></title>
  <description><![CDATA[
<p>PhD student / Bio-informatician in computational protein modeling<br />Job Profile<br />You will perform research on drug/protein interaction analysis in the context of lung cancer, using computational protein modeling. You will implement existing models predicting drug efficacy, related to EGFR-driven cancer. You will translate these models to novel oncogenes, including ROS1. You will validate these models against experimental data from a parallel project, with the final goal of deployment of your methods into clinical decision making. Your work will be embedded in an international network consisting of both academic partners and ROS1-NSCLC patient organizations.</p>

<p>Requirements</p>

<p>You are (or soon will be) a master in bio-informatics. You have strong ICT skills and you are eager to fully submerge into the world of protein modeling. You have good experience with Linux and one or more programming languages as well as knowledge of tertiary structure analysis. Candidates with a Master degree in one of the life sciences (Biomedical sciences, Biochemistry, Bio-engineering, Biostatistics, …), with relevant interest and extended experience in this field are also welcome. A general background cancer biology and genetics is needed. You are willing and eligible to apply for a personal PhD fellowship with the Flemish FWO (FWO.be). Therefore, it is required that you hold a master degree from a European university, and have not obtained your master diploma more than three years ago (see FWO website for detailed conditions). Proficiency in English, and good communication skills, both oral and written, are required. You are highly motivated, and you like to work in an interactive research team. You are willing to work on a 4-year PhD project starting beginning of 2020.</p>

<p>What we offer</p>

<p>We offer a one year position, as a PhD student, which can be extended up to 4 year upon positive evaluation, even if a personal fellowship application is not successful. Wages are according to the standard Flemish bursary levels for PhD students.</p>

<p>Interested?<br />For additional information please contact dr. Geert Vandeweyer. To apply, send a copy of your CV including details of your relevant skills and a motivation letter by e-mail to dr. Geert Vandeweyer (geert.vandeweyer@uantwerpen.be) before March 15, 2020.</p>

<p>Source:https://academicpositions.be/ad/university-of-antwerp/2020/phd-student-bio-informatician-in-computational-protein-modeling/141252?utm_source=jooble&amp;utm_medium=cpc&amp;utm_campaign=jooble</p>
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