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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32849?offset=240</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/2742/baumbach-lab</guid>
  <pubDate>Wed, 21 Aug 2013 10:56:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[Baumbach Lab]]></title>
  <description><![CDATA[
<p>The Computational Biology research group was established in October 2012 at the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU). It emerged from the Computational Systems Biology group, founded in March 2010 at the Max Planck Institute for Informatics (MPII) and the Cluster of Excellence for Multimodel Computing and Interaction (MMCI) at Saarland University, Saarbrücken, Germany.<br />​<br />The group is headed by Prof. Dr. Jan Baumbach and currently hosts nine PhD students and one postdoctoral fellow at both, IMADA/SDU and MMCI/MPII.</p>

<p>More at &gt;&gt; http://www.baumbachlab.net/</p>
]]></description>
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<item>
  <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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2839/look-up-a-biological-numbers</guid>
	<pubDate>Fri, 23 Aug 2013 03:27:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2839/look-up-a-biological-numbers</link>
	<title><![CDATA[Look up a biological numbers]]></title>
	<description><![CDATA[<p><strong>Did you ever need to look up a number</strong><span>&nbsp;like the volume of a cell or the cellular concentration of ATP, only to find yourself spending much more time than you wanted on the Internet or flipping through textbooks - all without much success?&nbsp;</span><br><br><span>Well, it didn&rsquo;t happen only to you. It is often surprising how difficult it can be to find concrete biological numbers, even for properties that have been measured numerous times. To help solve this for one and all, BioNumbers (</span><strong>the database of key numbers in molecular biology</strong><span>) was created. Along with the numbers, you'll find the relevant&nbsp;</span><strong>references to the original literature</strong><span>, useful comments, and related numbers.&nbsp;</span></p>
<p><span><span>To cite BioNumbers please refer to: Milo et al. Nucl. Acids Res. (2010) 38: D750-D753. When using a specific entry from the database it is highly recommended that you also specify the BioNumbers 6 digit ID, e.g. "BNID 100986, Milo et al 2010".&nbsp;</span></span></p><p>Address of the bookmark: <a href="http://bionumbers.hms.harvard.edu/" rel="nofollow">http://bionumbers.hms.harvard.edu/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/3952/ancestor-at-work</guid>
	<pubDate>Sun, 25 Aug 2013 19:45:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/3952/ancestor-at-work</link>
	<title><![CDATA[Ancestor at work !!!]]></title>
	<description><![CDATA[<p>When they will learn Bioinformatics :)</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/3952" length="10064" type="image/gif" />
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42164/postdoctoral-researcher-in-statistical-bioinformatics-at-orebro-university</guid>
  <pubDate>Wed, 26 Aug 2020 10:20:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Researcher in Statistical Bioinformatics at Örebro University]]></title>
  <description><![CDATA[
<p>The position is in Medical Sciences, with special focus on Statistical Bioinformatics.</p>

<p>The position is a full-time position for a fixed term of two years. The salary depends on the successful candidate’s qualifications and experience.</p>

<p>For more information, please contact Prof. Dirk Repsilber,This is an email address, Prof. Hugo Hesser, This is an email addressor Prof. Allan Sirsjö, allan.This is an email address, or Prof. Robert Brummer,This is an email address.</p>

<p>Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.</p>

<p>More detail at https://www.oru.se/english/working-at-orebro-university/jobs-and-vacancies/job/?jid=20200286/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4835/chang-lab</guid>
  <pubDate>Tue, 24 Sep 2013 17:25:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[Chang lab]]></title>
  <description><![CDATA[
<p>The Chang lab is focused on how the activities of hundreds or even thousands of genes (gene parties) are coordinated to achieve biological meaning. We have pioneered methods to predict, dissect, and control large-scale gene regulatory programs; these methods have provided insights into human development, cancer, and aging. A particular interest is how cells know and remember their locations in the body, particularly with the help of long noncoding RNAs.</p>

<p>More at http://changlab.stanford.edu/index.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4155/genetics-for-fun-and-profit-andrew-hessel-at-tedxvilnius</guid>
	<pubDate>Sun, 01 Sep 2013 19:15:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4155/genetics-for-fun-and-profit-andrew-hessel-at-tedxvilnius</link>
	<title><![CDATA[Genetics for Fun and Profit: Andrew Hessel at TEDxVilnius]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/A2h_JW7X_HE" frameborder="0" allowfullscreen></iframe>Andrew Hessel co-chairs the Bioinformatics and Biotechnology track at the Singularity University, an institution founded by futurist Ray Kurzweil and X Prize Foundation CEO Peter Diamandis, with sponsorship from world-leading organizations that include Google, Autodesk, and NASA. He is also the founder of the Pink Army Cooperative, a venture aiming to make open source personalized cancer therapies. His work has been featured in The New York Times, Futurist Magazine, H+, and Wired News.

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>
	
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42308/icmr-scientist-jobs-for-biotechlife-sciencebiology-bioinformatics</guid>
  <pubDate>Tue, 10 Nov 2020 18:45:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[ICMR Scientist Jobs For Biotech/Life Science/Biology &amp; Bioinformatics]]></title>
  <description><![CDATA[
<p>CMR welcomes on-line applications up to 5th December 2020 till 5:30 PM to fill out the vacancies of 42 Scientist’ E’ (Medical), 01 Scientist ‘E’ (Non-Medical), 16 Scientist ‘D’ (Medical) and also 06 Scientist ‘D’ (Non-Medical) from Indian Citizens for appointment on regular basis under Direct Recruitment with all India transfer liability under the Council.</p>

<p>Post I</p>

<p>Name of the Post: Scientist-E (Non-Medical)</p>

<p>Number of positions: One</p>

<p>Upper Age limit: 50 years</p>

<p>Post II</p>

<p>Name of the Post: Scientist-D (Non-Medical)</p>

<p>Number of positions: Six</p>

<p>Upper Age limit: 45 years</p>

<p>Fee:</p>

<p>Application Fee of Rs. 1500/- (Rupees one thousand five hundred only) is needed. SC / ST / Women/ PWD/ EWS applicants are exempted from application fee. Application Fee is to be paid by candidates through online web link given up the application. Application fees when paid will certainly not be reimbursed under any situations.</p>

<p>How to apply:</p>

<p>i) Candidates should apply online on https://recruit.icmr.org.in. A separate application needs to be submitted for every post, with the required application fee.</p>

<p>ii) Following self-attested documents are required to be uploaded together with the application:<br />a) Proof of Date of Birth.<br />b) Educational qualifications.<br />c) Experience.</p>

<p>More at https://recruit.icmr.org.in/assets/uploads/advertisement/ICMR_Advertisement_06112020.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4314/postdocs-positions-in-computer-science-in-helsinki-finland</guid>
  <pubDate>Fri, 06 Sep 2013 10:11:19 -0500</pubDate>
  <link></link>
  <title><![CDATA[PostDocs positions in computer science in HELSINKI, FINLAND]]></title>
  <description><![CDATA[
<p>Several university departments in the Helsinki region, Finland, are looking for postdoctoral researchers in the field of computer science and information technology. Jobs are available at:<br />·       Helsinki Institute for Information Technology HIIT, Aalto University and University of Helsinki, http://www.hiit.fi<br />·       Department of Computer Science, University of Helsinki, http://www.cs.helsinki.fi<br />·       Department of Information and Computer Science, Aalto University, http://ics.aalto.fi<br />·       Department of Computer Science and Engineering, Aalto University, http://cse.aalto.fi<br />·       Department of Mathematics and Statistics, University of Helsinki, http://mathstat.helsinki.fi/english/<br /> <br />Why Helsinki?<br />The collaborating Aalto University and University of Helsinki form a leading hub of computer science and modelling, including Machine learning, Data mining, Algorithms, Computational Logic, Cloud computing, Distributed computing, Human-centric ubiquitous ICT, Bioinformatics, etc.<br />Helsinki region is a safe, pleasant and attractive place to live in, with well-functioning services such as public transport etc. Finland has a comprehensive social security and health care system, including exceptionally good parental leaves, and children's day care services.<br /> <br />Positions are offered in:<br />Algorithm engineering (String Algorithms group)<br />Algorithmic bioinformatics (Genome-Scale Algorithmics group)<br />Automated reasoning and search, especially propositional logic (Computational Logic group)<br />Computational astrophysics and/or data analysis (Computational Methods and Data Analysis for Astrophysics group)<br />Computational biology and statistical methods in bioinformatics (Computational Systems Biology group)<br />Computational creativity and data mining (Discovery group)<br />Dynamic and large-scale networked systems (Data Communications Software group)<br />Intelligent multimodal information access (Content-Based Image and Information Retrieval Group)<br />Machine learning and neuroscience (Statistical Machine Learning group)<br />Machine learning for structured data (Kernel Machines, Pattern Analysis and Computational Biology group)<br />Machine learning methods for infectious disease epidemiology (Bayesian Statistics Group)<br />Probabilistic modeling and machine learning (Complex Systems Computation group)<br />Statistical machine learning (Statistical Machine Learning group)<br />Analysing ubiquitous sensor data (HIIT-Wide Focus Area)<br />Interactive visualization (HIIT-Wide Focus Area)<br />Affective computing and BCI (HIIT-Wide Focus Area)<br />Intelligent user interfaces and/or recommender systems (HIIT-Wide Focus Area)<br />Information retrieval and HCI (HIIT-Wide Focus Area)<br />Machine learning and data analysis, especially information retrieval, HCI, text and context data (HIIT-Wide Focus Area)<br />Probabilistic modeling and data analysis for bioinformatics (HIIT-Wide Focus Area)</p>

<p>More at http://www.hiit.fi/postdoc-call-2013</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42499/galaxy-training-resources</guid>
	<pubDate>Sun, 27 Dec 2020 05:28:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42499/galaxy-training-resources</link>
	<title><![CDATA[Galaxy Training Resources !]]></title>
	<description><![CDATA[<p>Welcome to Galaxy Training!</p>
<p>Collection of tutorials developed and maintained by the worldwide Galaxy community</p>
<table>
<thead>
<tr><th>Topic</th><th>Tutorials</th></tr>
</thead>
<tbody>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/introduction/">Introduction to Galaxy Analyses</a></td>
<td>10</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/assembly/">Assembly</a></td>
<td>6</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/climate/">Climate</a></td>
<td>3</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/computational-chemistry/">Computational chemistry</a></td>
<td>6</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/ecology/">Ecology</a></td>
<td>6</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/epigenetics/">Epigenetics</a></td>
<td>6</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/genome-annotation/">Genome Annotation</a></td>
<td>3</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/imaging/">Imaging</a></td>
<td>3</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/metabolomics/">Metabolomics</a></td>
<td>4</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/metagenomics/">Metagenomics</a></td>
<td>7</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/proteomics/">Proteomics</a></td>
<td>18</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/sequence-analysis/">Sequence analysis</a></td>
<td>2</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/statistics/">Statistics and machine learning</a></td>
<td>8</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/transcriptomics/">Transcriptomics</a></td>
<td>23</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/variant-analysis/">Variant Analysis</a></td>
<td>8</td>
</tr>
<tr>
<td><a href="https://training.galaxyproject.org/training-material/topics/visualisation/">Visualisation</a></td>
<td>2</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://training.galaxyproject.org/training-material/" rel="nofollow">https://training.galaxyproject.org/training-material/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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