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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26303?offset=1270</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/860/the-centre-for-bioinformatics-mcb-lab</guid>
  <pubDate>Sun, 14 Jul 2013 12:41:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Centre for Bioinformatics (MCB) Lab]]></title>
  <description><![CDATA[
<p>The Centre for Bioinformatics (MCB) is a diverse collection of professors, postdoctoral fellows, and students, who share a common interest in Bioinformatics.</p>

<p>Research Area</p>

<p>We are interested in the development of the statistics and computational methods for the analysis of this data in breast cancer.<br />We have worked on probabilistic models for subcellular localization, protein-protein interactions, and problems related to chemical genomics.<br />We are interested in the development of bioinformatics/biostatistical methodology in the analysis of epigenetic/epigenomic data.<br />We are interested in integrative bioinformatics approaches to learn the gene, gene products, interactions, and regulatory mechanisms involved in mental retardation.</p>

<p>Link @ http://www.mcgill.ca/mcb/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4634/immune-response-to-cancer-cells-awesome</guid>
	<pubDate>Fri, 20 Sep 2013 06:20:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4634/immune-response-to-cancer-cells-awesome</link>
	<title><![CDATA[Immune response to cancer cells! AWESOME]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/C6YuBh-wAPQ" frameborder="0" allowfullscreen></iframe><p>Awesome viddeo explaining the way in which the antibody, HuLuc 63, appears to induce anti-tumor effects by binding to a protein that is only expressed on the surface of myeloma cells. This initiates antibody-dependent cellular cytotoxicity activity that kills myeloma cells and leaves healthy cells intact.</p>]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42803/bioinformatician-purdue-cancer-center</guid>
  <pubDate>Wed, 03 Feb 2021 22:54:14 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatician - Purdue Cancer Center]]></title>
  <description><![CDATA[
<p>The Center for Cancer Research is an NCI-designated cancer center. The center is a catalyst for collaborative cancer research around Purdue University. In this role, the selected individual will have the opportunity to cooperate with Purdue faculty and students in performing cutting-edge research and analyses, with opportunities for professional development, and the possibility of co-authorship in faculty research publications. <br />Projects will be challenging, including various model organisms, and we are looking for an individual who is excited about interacting with multi-disciplinary cancer research groups and the development of new tools, techniques, and workflows. Independently perform both routine and project-specific analyses, advise faculty on the design of experiments, writing manuscripts for publication, and writing grant proposals. Interact and collaborate with bioinformatics services (i.e. Statistical Consulting Center to provide relevant services to the campus research community), where applicable. Support all of the bioinformatics activities of the Center for Cancer Research at Purdue University<br />Required:</p>

<p>Master's degree in bioinformatics, computer science, molecular biology, or related field<br />One year of experience in analyzing RNA-Seq data <br />In lieu of a degree, consideration will be given to an equivalent combination of related education and required work experience.<br />Understanding of molecular biology, biochemistry, and genetics<br />Proficiency in writing scripts using Perl, Python, Java, or equivalent languages<br />Proficiency in R and UNIX/LINUX <br />Knowledge of genomics, alignment, annotation, bioinformatics, concepts of sequence assembly<br />Highly motivated and detail-oriented<br />Ability, interest, and curiosity to learn new skills<br />Must possess strong communication skills to work effectively with users across disciplines<br />Ability to work independently and as part of a multi-disciplinary team<br />Strong visual, verbal, and written communication skills<br />Excellent time organizational skills<br />Preferred:</p>

<p>Experience writing software or building software pipelines<br />Experience with oncology-specific public databases including TCGA<br />Experience with deploying and/or running software on high-performance computational systems<br />Statistical and experimental design knowledge<br />Additional Information: </p>

<p>This position is contingent on the availability of funding<br />Purdue will not sponsor employment authorization for this position  <br />A background check will be required for employment in this position<br />FLSA: Exempt (Not Eligible For Overtime)<br />Retirement Eligibility: Defined Contribution Waiting Period <br />Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply</p>

<p>More at https://careers.purdue.edu/job/West-Lafayette-Bioinformatician-Purdue-Cancer-Center-IN-47906/686617600/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41040/phd-position-in-molecular-cell-biology</guid>
  <pubDate>Sat, 15 Feb 2020 06:09:55 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD position in Molecular Cell Biology]]></title>
  <description><![CDATA[
<p>https://www.jobvector.de/jobs-stellenangebote/biologie-life-sciences/wissenschaftliche-r-mitarbeiter-in/phd-position-molecular-cell-biology-129604.html?suid=0ec057818886c1eceac674ca3f83943367a6cbe2</p>

<p>Essential experience / qualifications:<br />We are looking for highly motivated candidates holding a Master / Diploma in Biology, Biochemistry, Molecular Medicine or similar; solid knowledge of molecular and cell biological techniques; good English knowledge.</p>

<p>Applications:<br />Please send your application (including CV, letter of motivation, contact information of two references, and list of publication) by 13.03.2020 at the latest to:</p>

<p>Universitätsklinikum Erlangen<br />Chirurgische Klinik<br />Translational Research Center<br />Prof. Dr. rer. nat. Michael Stürzl<br />Schwabachanlage 12<br />91054 Erlangen<br />E-Mail: michael.stuerzl@uk-erlangen.de</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/28036/prof-chandrasekhar-kanduri-laboratory</guid>
  <pubDate>Fri, 24 Jun 2016 16:59:43 -0500</pubDate>
  <link></link>
  <title><![CDATA[Prof. Chandrasekhar Kanduri Laboratory]]></title>
  <description><![CDATA[
<p>Our lab has been interested in understanding how long noncoding RNAs control tumor initiation and progression, in addition to use them as potential biomarkers in diagnosis and therapy. We have been using neuroblastoma, a childhood cancer, as a model system to understand the functional role of long noncoding RNAs in cancer development and progression. By using new RNA sequencing technology on neuroblastoma tumors from a large group of Swedish children including both high-risk and low-risk neuroblastomas (108), we have identified several long noncoding RNAs that could have potential role in diagnosis and therapy. We are currently exploring the functional role of these differentially expressed long noncoding RNA in nuroblastoma progression and development.</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7362/junior-research-fellow-jrf-project-fellow-kalasalingam-university</guid>
  <pubDate>Thu, 19 Dec 2013 13:23:39 -0600</pubDate>
  <link></link>
  <title><![CDATA[Junior Research Fellow (JRF) / Project Fellow @ Kalasalingam University]]></title>
  <description><![CDATA[
<p>Applications are invited from interested candidates for the post of one Junior Research Fellow / Project Fellow on a purely temporary basis in a time bound research project (3 years) sponsored by Science and Engineering Research Board, Government of India, New Delhi.</p>

<p>Name of the fellowship: Junior Research Fellow (JRF) / Project Fellow</p>

<p>Title of the project: Genome-wide Mapping of Murine Specific Dengue T-cell Epitopes: Computational Prediction, Identification and use as Candidate Vaccines</p>

<p>Duration: 3 years</p>

<p>Fellowship: Rs. 18,000 for first 2 years and Rs. 20,000 for 3rdyear (for M.Tech. candidates)</p>

<p>Rs. 16,000 for first 2 years and Rs. 18,000 for 3rdyear (for M.Sc. candidates with NET qualification)</p>

<p>Rs. 8,000 for first 2 years and Rs. 10,000 for 3rdyear (for M.Sc. candidates without NET qualification)</p>

<p>Qualifications: M.Tech. in Biotechnology / M.Sc. in any branch of Life Sciences</p>

<p>Desirable Experience: Minimum of two years research experience in any of the following areas: Immunology / Microbiology / Gene Manipulation / Bioinformatics</p>

<p>Interested and eligible candidates may apply with their resume along with relevant documents and a passport size photograph to the Principal Investigator by post (or e-mail) on or before December 31, 2013. Only short listed candidates will be called for written test and/or interview. Selected candidate may register for PhD in Kalasalingam University. No TA/DA will be paid for attending interview.</p>

<p>Dr. K. Sundar<br />Principal Investigator (SERB Project)<br />Department of Biotechnology<br />Kalasalingam University<br />Krishnankoil – 626126, Tamil Nadu<br />sundarkr@klu.ac.in</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/40497/artificial-intelligence-is-more-accurate-than-doctors-in-diagnosing-breast-cancer</guid>
	<pubDate>Wed, 01 Jan 2020 22:12:34 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/40497/artificial-intelligence-is-more-accurate-than-doctors-in-diagnosing-breast-cancer</link>
	<title><![CDATA[Artificial intelligence is more accurate than doctors in diagnosing breast cancer]]></title>
	<description><![CDATA[<p>Artificial intelligence is more accurate than doctors in diagnosing breast cancer from mammograms, a study in the journal Nature suggests.</p><p>An international team, including researchers from&nbsp;<a href="https://health.google/" target="_blank">Google Health</a>&nbsp;and&nbsp;<a href="https://www.imperial.ac.uk/news/183293/research-collaboration-aims-improve-breast-cancer/" target="_blank">Imperial College London</a>, designed and trained a computer model on X-ray images from nearly 29,000 women.</p><p>The algorithm&nbsp;<a href="https://nature.com/articles/s41586-019-1799-6" target="_blank">outperformed six radiologists</a>&nbsp;in reading mammograms.</p><p>AI was still as good as two doctors working together.</p><p>Unlike humans, AI is tireless. Experts say it could improve detection. Read More:&nbsp;<a href="https://www.bbc.com/news/health-50857759" target="_blank">https://www.bbc.com/news/health-50857759</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4094/manufacturing-life-with-j-craig-venter</guid>
	<pubDate>Thu, 29 Aug 2013 08:52:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4094/manufacturing-life-with-j-craig-venter</link>
	<title><![CDATA[Manufacturing Life with J. Craig Venter]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/PKtozMvSsBk" frameborder="0" allowfullscreen></iframe>J. Craig Venter, CEO of Synthetic Genomics, talks about finding genomic-driven solutions to address global needs such as new sources of energy, food and vaccines in an interview with James Bennet, Editor-in-Chief of The Atlantic. This program is introduced by Pradeep Khosla, the new chancellor of the University of California, San Diego.  Series: "The Atlantic Meets The Pacific" [11/2012] [Public Affairs] [Show ID: 24359]
The Atlantic Meets the Pacific playlist: http://goo.gl/5V8Yb
The Atlantic Meets the Pacific on UCTV: http://www.uctv.tv/atlanticpacific
UCTV: http://www.uctv.tv]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19272/translate2r</guid>
	<pubDate>Fri, 21 Nov 2014 01:16:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19272/translate2r</link>
	<title><![CDATA[translate2R]]></title>
	<description><![CDATA[<p>After their presentation at the international &ldquo;user!&rdquo; conference, data analysis specialist <a href="http://www.eoda.de/en/" target="_blank">eoda</a> starts the public alpha testing of <a href="http://www.eoda.de/en/translate2R.html" target="_blank">translate2R</a>. With the start of alpha testing the innovative migration solution by the company hailing from Kassel discards the working title &ldquo;translateR&rdquo; and takes on the final product brand name &ldquo;translate2R&rdquo;. translate2R is a service for the automated translation of SPSS&reg; syntax to R code, therefore supporting data analysts with a quick and low-risk migration to R.</p><p>The manual translation of many, frequently rather complex SPSS scripts often presents itself as a tedious and error-prone task, and represents a rather large obstacle for many analysts and companies to migrate to a modern, open source data management and analysis tool like R. With translate2R this hurdle will be diminished substantially.</p><p>Find at https://service.eoda.de/translater/?lang=en</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/36191/bioinformatics-workshops-no-coding-required</guid>
	<pubDate>Mon, 09 Apr 2018 13:06:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/36191/bioinformatics-workshops-no-coding-required</link>
	<title><![CDATA[Bioinformatics Workshops - NO CODING REQUIRED]]></title>
	<description><![CDATA[<p><img src="https://edu.t-bio.info/wp-content/uploads/2018/03/t-bioinfo-bioinformatics-workshops.jpg" alt="Bioinformatics Workshops T-BioInfo" width="568" height="319" style="vertical-align: middle; border: 0px;"></p><p>Pine Biotech, Inc., a US-based startup working with the Tauber Bioinformatics Research Center is offering a full curriculum online preparing students without any technical background for real-life challenges with large scale biomedical data. Workshops on processing, analysis and biomedical interpretation of Next Generation Sequencing data cover important up-to-date algorithms and machine learning approaches. The most important thing is that there are virtually no pre-requisites such as coding, biostatistics or advanced medical skills. If you know what gene is and how the genes are expressed, you are ready to take the courses or join our workshops. Learn more:&nbsp;https://edu.t-bio.info/workshops/</p>]]></description>
	<dc:creator>eliabrodsky</dc:creator>
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