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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/3029?offset=610</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/2464/computer-theory-genetics-george-chao-at-tedxumnsalon</guid>
	<pubDate>Thu, 15 Aug 2013 22:08:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/2464/computer-theory-genetics-george-chao-at-tedxumnsalon</link>
	<title><![CDATA[Computer Theory & Genetics: George Chao at TEDxUMNSalon]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/7_GL17oiak8" frameborder="0" allowfullscreen></iframe>George Chao is an undergraduate senior studying Genetics and Computer Science at the University of Minnesota. Having started genetics research as soon as he entered the university, he has worked in labs spanning multiple disciplines as well as in Japan. Some of these researches include developmental genetics in Drosophila, computational techniques for analyzing protein interactions, and helping with the development of algorithms to analyze motion capture data of patients with neck pain. During this time, George steadily developed a fascination with the field of bioinformatics, the study of using computational techniques to learn from genetic data. He would like to go into a career of research into the application of bioinformatics in various fields.

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The individuals involved with TEDxUMN have a passion for bringing together the great thinkers at the University of Minnesota and giving them the opportunity to share their ideas worth spreading and to discuss our shared future. We provide these great people the opportunity to share these ideas on a global stage and with an incredibly diverse audience. We believe in the power of ideas to change attitudes, lives and ultimately the world.

Check out TEDxUMN at http://www.TEDxUMN.com/

In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/38302/senior-bioinformatics-scientist-at-elucidata</guid>
  <pubDate>Tue, 27 Nov 2018 04:05:57 -0600</pubDate>
  <link></link>
  <title><![CDATA[Senior Bioinformatics Scientist at Elucidata]]></title>
  <description><![CDATA[
<p>Key Responsibilities <br />- Process and analyse metabolomic, transcriptional, genomics, proteomics <br />and any other kind of biological data. <br />- Interpret the data in the context of relevant biological literature to generate <br />actionable insights. <br />- Communicate the findings from data and literature to biologists and use the <br />biological insights to derive next steps/analyses. <br />- Communicate work through blogs, meet-ups, research papers, posters, etc. <br />- Identify, troubleshoot, and implement improvements to existing pipelines <br />and algorithms. <br />- Identify and implement new tools and pipelines to use for different types of <br />biological data. <br />- Work in a multi-disciplinary team with biologists, data scientists and data <br />analysts. <br />- Help with any other requirements (from database design to generating <br />prototypes for the product team).</p>

<p>Requirements <br />- 3-5 years of relevant bioinformatics experience such as public data mining, <br />processing, analysing and visualising omics data, etc. <br />- Ph.D., Masters or Bachelors in Bioinformatics, Biotechnology, <br />Computational Biology, or related field. <br />- Understanding of molecular biology and biochemistry. <br />- Comfort and experience with biological research and data. <br />- Proficient in a programming language used for bioinformatics such as R or <br />python. <br />- Excellent communication skills. <br />- Ability to summarise and simplify complex analyses for a non-technical <br />audience. <br />- Strong analytical skills, curiosity and a knack to solve difficult problems. <br />- Work well in multi-disciplinary teams with people of vastly different <br />backgrounds. <br />- Demonstrated success in collaboration and independent work.</p>

<p>More at https://angel.co/elucidata/jobs/460104-senior-bioinformatics-scientist</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/2680/4-positions-in-high-throughput-computational-metagenomics-and-systems-biology-of-natural-products</guid>
  <pubDate>Tue, 20 Aug 2013 08:42:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[4 positions in high throughput computational metagenomics and systems biology of natural products]]></title>
  <description><![CDATA[
<p>The Research and Innovation Centre at the Fondazione Edmund Mach (CRI-FEM) is a major international research institution with strong and expanding research interests in Fruit Genomics, Quality Health and Nutrition of Agricultural Products, Agro-ecosystems Sustainability, Biodiversity and Molecular Ecology.</p>

<p>CRI-FEM hosts GMPF, an International PhD Program in Genomics and Molecular Physiology of Fruit Crops and Fox-Lab, an international initiative in forest and wood research.<br />4 positions in high throughput computational metagenomics and systems biology of natural products - deadline September 30th, 2013</p>

<p>To support interdisciplinary research, CRI-FEM has established the Computational Biology Centre (CBC).</p>

<p>The mission of CBC is to develop systems-level integrative approaches connecting genotype to phenotype with a special focus on genome-wide analyses and next generation sequencing technologies. </p>

<p>CRI-FEM is seeking to attract 4 high calibre scientists in the areas of high throughput computational metagenomics and systems biology of natural products.</p>

<p>Here below the list of the 4 positions:</p>

<p>http://www.fmach.it/eng/Servizi-Generali/Lavora-con-noi/Annunci-lavoro-e-borse-di-studio/Details-of-the-5-positions-in-high-throughput-computational-metagenomics-and-systems-biology-of-natural-products-deadline-September-30th-2013/Post-doc-in-Metagenomics-screening-and-characterization-of-bioactive-microbial-compounds-130_CRI_MSC</p>

<p>http://www.fmach.it/eng/Servizi-Generali/Lavora-con-noi/Annunci-lavoro-e-borse-di-studio/Details-of-the-5-positions-in-high-throughput-computational-metagenomics-and-systems-biology-of-natural-products-deadline-September-30th-2013/Post-doc-in-Modeling-transcriptional-control-programs-at-a-genome-wide-scale-131_CRI_TCP</p>

<p>http://www.fmach.it/eng/Servizi-Generali/Lavora-con-noi/Annunci-lavoro-e-borse-di-studio/Details-of-the-5-positions-in-high-throughput-computational-metagenomics-and-systems-biology-of-natural-products-deadline-September-30th-2013/Technologist-in-Purification-of-plant-bioactive-molecules-from-complex-matrixes-132_CRI_PBM</p>

<p>http://www.fmach.it/eng/Servizi-Generali/Lavora-con-noi/Annunci-lavoro-e-borse-di-studio/Details-of-the-5-positions-in-high-throughput-computational-metagenomics-and-systems-biology-of-natural-products-deadline-September-30th-2013/Researcher-in-Methods-for-algorithmic-and-integrative-genomics-for-metagenomics-134_CRI_AIG</p>

<p>For more information on the CBC or informal inquiries on the advertised positions please contact Dr Duccio Cavalieri (e-mail duccio.cavalieri@fmach.it).</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40945/the-clark-lab</guid>
  <pubDate>Fri, 07 Feb 2020 13:57:24 -0600</pubDate>
  <link></link>
  <title><![CDATA[The Clark Lab]]></title>
  <description><![CDATA[
<p>Study the process of Adaptive Evolution, during which species adopt novel traits to overcome challenges. We retrace the evolutionary histories of genomic elements to determine the changes underlying adaptation and to discover previously unknown genetic networks. These discoveries have already led to advances in human health, species conservation, and molecular biology. </p>

<p>More at http://clark.genetics.utah.edu/</p>
]]></description>
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  <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/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/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/researchlabs/view/5210/sandelin-group</guid>
  <pubDate>Mon, 30 Sep 2013 19:12:58 -0500</pubDate>
  <link></link>
  <title><![CDATA[Sandelin group]]></title>
  <description><![CDATA[
<p>Sandelin group have a deep interest in most biology, but focus on gene regulation and the many areas that are connected with this, including transcriptomics, epigenetics and technological and informatics aspects.</p>

<p>The group is both computational and experimental.</p>

<p>We ask biological questions to large datasets made using novel genomics techniques, with the help of computers. One of the strengths in the group are the many connections to high-profile experimental laboratories which supply data to be analyzed.</p>

<p>Lab webpage @ http://people.binf.ku.dk/albin/Sandelin_group_at_the_Bioinformatic_Centre/The_Sandelin_group.html</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4945/national-training-on-bioinformatics-computational-tools-for-microbial-research-nov-19-to-30-2013</guid>
  <pubDate>Fri, 27 Sep 2013 10:49:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[National Training on Bioinformatics  Computational Tools for Microbial Research  Nov 19 to 30, 2013]]></title>
  <description><![CDATA[
<p>Agricultural research in modern scientific arena is being represented by proper integration among various research fields of biological, chemical and physical sciences, because this field encompasses many more complexities of biology in nature. In the era of fast accumulating biological data coming out from the research on many crop plants, live stocks and microbes and the impact of changing climate, habitat and other interrelations on these biological entities, bioinformatics has come forward across the globe to solve the problems of analysis, prediction, storage, management, pattern recognition, submission, retrieval and storage of the data to find out a fruitful outcome. This area is becoming increasingly important in the context of systems biology approach where a holistic approach is required to understand the biology and chemistry of the biological entities and their behavior during environmental interactions to resolve the harmful impact of biotic or abiotic causes on crop plants, animals, fishes, livestock sector, beneficial insects as well as microbes. The National Training program on ‘Computational Tools for Microbial Research” is an initiative for the capacity building of NARS scientists/researchers in this most emerging area and fast developing area of i.e. agricultural bioinformatics.</p>

<p>Contact The Director, National Bureau of Agriculturally Important Microorganisms, Kusmaur, Maunath Bhanjan-275101 (U.P.); Phone: 0547-2530080, Fax: 0547-2530358, e mail: nbaimicar@gmail.com; website: www.nbaim.org.in OR</p>

<p>Dr. Dhananjaya P. Singh, Senior Scientist &amp; CCPI, NABG project, NBAIM, Maunath Bhanjan, 275101; Mob.- 09415291703; e mail - dpsfarm@rediffmail.com, nabg.nbaim@gmail.com </p>

<p>More at http://www.nbaim.org.in/Announc.aspx?cd=36</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5254/mike-ritchie-lab</guid>
  <pubDate>Wed, 02 Oct 2013 15:25:45 -0500</pubDate>
  <link></link>
  <title><![CDATA[Mike Ritchie Lab]]></title>
  <description><![CDATA[
<p>Mike Ritchie Lab primary research focus is the detection of susceptibility genes for common diseases such as cancer, diabetes, hypertension, and cardiovascular disease, among others. The approaches will involve the development and application of new statistical methods with a focus on the detection of gene-gene interactions associated with human disease.</p>

<p>Gene expression and protein expression patterns between normal and non-normal tissues is a growing area of research that may lead to the identification of candidate genes for understanding the etiology of common, complex diseases. </p>

<p>Lab homepage @ http://ritchielab.psu.edu/ritchielab/</p>
]]></description>
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