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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/22995?offset=510</link>
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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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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44677/exploring-bioinformatics-job-websites-your-gateway-to-a-thriving-career</guid>
	<pubDate>Sat, 19 Oct 2024 13:43:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44677/exploring-bioinformatics-job-websites-your-gateway-to-a-thriving-career</link>
	<title><![CDATA[Exploring Bioinformatics Job Websites: Your Gateway to a Thriving Career]]></title>
	<description><![CDATA[<p>Bioinformatics is a rapidly growing field at the intersection of biology, computer science, and data analytics, with applications in healthcare, genomics, drug discovery, and more. As demand increases for skilled professionals who can manage, analyze, and interpret biological data, finding the right job opportunities can be challenging. Fortunately, numerous online platforms cater specifically to bioinformatics professionals, from academia to industry positions.</p><p>Here&rsquo;s a curated list of the top websites offering bioinformatics job opportunities and postdoctoral fellowships worldwide.</p><h3>1. <strong>General Bioinformatics Job Portals</strong></h3><p>These platforms are ideal for bioinformaticians seeking jobs in diverse sectors:</p><ul>
<li>
<p><strong><a href="https://www.nature.com/naturecareers/" target="_new">Nature Careers</a>:</strong> A trusted resource for job seekers in the sciences, Nature Careers offers bioinformatics roles globally. Their specialized search function allows you to filter jobs by keyword, location, and more.</p>
<ul>
<li><a href="https://www.nature.com/naturecareers/searchjobs/?Keywords=bioinformatics" target="_new">Explore Bioinformatics Jobs on Nature Careers</a></li>
</ul>
</li>
<li>
<p><strong><a href="https://jobs.sciencecareers.org/searchjobs/?Keywords=bioinformatics" target="_new">Science Careers</a>:</strong> A job board from the AAAS, this site focuses on STEM jobs, including numerous bioinformatics opportunities in academia and industry.</p>
</li>
<li>
<p><strong><a href="https://euraxess.ec.europa.eu/" target="_new">Euraxess</a>:</strong> Euraxess is the go-to platform for researchers looking for jobs, fellowships, and funding across Europe and beyond. It lists both bioinformatics roles and research grants.</p>
<ul>
<li><a href="https://euraxess.ec.europa.eu/search?keys=bioinformatics" target="_new">Search Bioinformatics Jobs on Euraxess</a></li>
</ul>
</li>
<li>
<p><strong><a href="https://www.researchgate.net/jobs/search/bioinformatics" target="_new">ResearchGate Jobs</a>:</strong> ResearchGate is widely known as a platform for researchers to share publications, but it also has a robust job board featuring bioinformatics positions globally.</p>
</li>
<li>
<p><strong><a href="https://www.findapostdoc.com/?Keywords=bioinformatics" target="_new">FindAPostDoc</a>:</strong> This site is dedicated to helping postdoctoral researchers find positions, with bioinformatics being a popular category.</p>
</li>
<li>
<p><strong><a href="https://academicpositions.com/find-jobs?search=bioinformatics" target="_new">Academic Positions</a>:</strong> Targeting academic roles worldwide, Academic Positions lists bioinformatics jobs at universities and research institutions.</p>
</li>
<li>
<p><strong><a href="https://www.postdocjobs.com/job/search/index?keyword=bioinformatics&amp;location=" target="_new">PostdocJobs.com</a>:</strong> Specializing in postdoctoral roles, this platform is a great resource for early-career researchers looking for bioinformatics-related positions.</p>
</li>
<li>
<p><strong><a href="https://scholarship-positions.com/?s=bioinformatics" target="_new">Scholarship Positions</a>:</strong> In addition to jobs, Scholarship Positions provides information on scholarships, fellowships, and grants related to bioinformatics.</p>
</li>
</ul><h3>2. <strong>Fellowship and Training Opportunities in Bioinformatics</strong></h3><p>For those seeking fellowships or specialized training, these organizations offer postdoctoral programs, grants, and research opportunities:</p><ul>
<li>
<p><strong><a href="https://www.training.nih.gov/research-training/pd/" target="_new">NIH Office of Intramural Training and Education</a>:</strong> The National Institutes of Health offer extensive research training programs for postdocs, including those in bioinformatics.</p>
</li>
<li>
<p><strong><a href="https://new.nsf.gov/funding/opportunities/rui-roa-pui-facilitating-research-predominantly-undergraduate" target="_new">NSF Research Opportunity Awards</a>:</strong> The National Science Foundation funds bioinformatics research at predominantly undergraduate institutions, providing fellowships and grants.</p>
</li>
<li>
<p><strong>Top U.S. Universities:</strong> Many prestigious U.S. institutions, including <a href="https://postdoc.hms.harvard.edu/fellowships" target="_new">Harvard</a>, <a href="https://postdoc.berkeley.edu/" target="_new">Berkeley</a>, <a href="https://postdocs.yale.edu/" target="_new">Yale</a>, <a href="https://postdocs.mit.edu/" target="_new">MIT</a>, <a href="https://postdoc.jhu.edu/" target="_new">Johns Hopkins</a>, <a href="https://postdocs.ucsd.edu/" target="_new">UCSD</a>, and <a href="https://postdocs.cornell.edu/" target="_new">Cornell</a>, offer postdoctoral opportunities in bioinformatics.</p>
</li>
</ul><h3>3. <strong>Country-Specific Job and Fellowship Resources</strong></h3><p>If you're targeting a specific region, these platforms offer bioinformatics opportunities tailored to their respective countries:</p><h4><strong>Canada</strong></h4><ul>
<li><strong><a href="https://capsacpp.ca/" target="_new">CAPS/ACPP</a>:</strong> The Canadian Association of Postdoctoral Scholars provides a job board, including bioinformatics roles in academia.</li>
<li><strong><a href="https://banting.fellowships-bourses.gc.ca/" target="_new">Banting Postdoctoral Fellowships</a>:</strong> A prestigious fellowship program for postdocs in bioinformatics and related fields.</li>
<li><strong><a href="https://www.mitacs.ca/our-programs/elevate-business/" target="_new">Mitacs Elevate</a>:</strong> A Canadian initiative offering fellowships to connect postdoctoral researchers with industry partners.</li>
</ul><h4><strong>United Kingdom</strong></h4><ul>
<li><strong><a href="https://www.ukri.org/" target="_new">UKRI</a>:</strong> The UK Research and Innovation body funds bioinformatics research and offers various grants.</li>
<li><strong><a href="https://royalsociety.org/grants/" target="_new">The Royal Society</a>:</strong> Provides funding schemes for researchers in bioinformatics.</li>
<li><strong><a href="https://marie-sklodowska-curie-actions.ec.europa.eu/" target="_new">Marie Skłodowska-Curie Actions</a>:</strong> The MSCA funds fellowships and doctoral programs across Europe, including bioinformatics-related projects.</li>
<li><strong><a href="https://wellcome.org/grant-funding/schemes" target="_new">Wellcome Trust</a>:</strong> Offers research funding and career development opportunities in health-related fields, including bioinformatics.</li>
</ul><h4><strong>Europe</strong></h4><ul>
<li><strong><a href="https://www.embo.org/funding/fellowships-grants-and-career-support/" target="_new">EMBO Fellowships</a>:</strong> The European Molecular Biology Organization supports bioinformaticians through fellowships and career grants.</li>
<li><strong><a href="https://www.mpg.de/career-programs" target="_new">Max Planck Society</a>:</strong> A leading research organization offering bioinformatics positions and fellowships across Europe.</li>
<li><strong><a href="https://www.helmholtz.de/en/" target="_new">Helmholtz Association</a>:</strong> A major research organization in Germany offering bioinformatics roles in various disciplines.</li>
<li><strong><a href="https://www.leibniz-gemeinschaft.de/en/careers/careers-in-research" target="_new">Leibniz Association</a>:</strong> Offers research opportunities, including bioinformatics, across its numerous institutes.</li>
</ul><h4><strong>Australia and New Zealand</strong></h4><ul>
<li><strong><a href="https://www.arc.gov.au/funding-research/funding-schemes" target="_new">Australian Research Council</a>:</strong> Offers funding and research schemes, including in bioinformatics.</li>
<li><strong>Top Universities:</strong> Universities like <a href="https://www.sydney.edu.au/research.html" target="_new">Sydney</a>, <a href="https://research.unimelb.edu.au/" target="_new">Melbourne</a>, and <a href="https://research.uq.edu.au/" target="_new">Queensland</a> have research programs in bioinformatics.</li>
</ul><h4><strong>Asia</strong></h4><ul>
<li><strong><a href="https://www.jsps.go.jp/english/e-fellow/index.html" target="_new">Japan Society for the Promotion of Science (JSPS)</a>:</strong> Offers fellowships for international researchers in bioinformatics.</li>
<li><strong>Top Institutions:</strong> Universities like <a href="https://www.nus.edu.sg/careers/" target="_new">NUS</a>, <a href="https://english.cas.cn/" target="_new">CAS</a>, and <a href="https://iisc.ac.in/" target="_new">IISc</a> are leading hubs for bioinformatics research.</li>
</ul><h4><strong>Middle East</strong></h4><ul>
<li><strong><a href="https://qrdi.org.qa/en-us/" target="_new">Qatar Research, Development, and Innovation (QRDI)</a>:</strong> Offers research opportunities in bioinformatics.</li>
<li><strong><a href="https://www.kaust.edu.sa/en/" target="_new">KAUST</a>:</strong> A leading university in Saudi Arabia offering bioinformatics research positions.</li>
</ul><h4><strong>Africa</strong></h4><ul>
<li><strong><a href="https://aasciences.africa/" target="_new">African Academy of Sciences</a>:</strong> Provides career opportunities and research funding in bioinformatics across Africa.</li>
</ul><h3>Conclusion</h3><p>The field of bioinformatics is full of exciting opportunities for those with the right skills. Whether you are looking for a postdoc position, research funding, or a long-term job in industry, these platforms are an excellent starting point. Explore, apply, and take the next step in your bioinformatics career!</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5702/research-fellow-in-bioinformatics-queens-university-belfast-institute-for-global-food-security-school-of-biological-sciences</guid>
  <pubDate>Thu, 17 Oct 2013 04:33:02 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Fellow in Bioinformatics @  Queen's University Belfast -Institute for Global Food Security, School of Biological Sciences]]></title>
  <description><![CDATA[
<p>Ref: 13/102900</p>

<p>Available immediately until 30th November 2015, to work on the development of bioinformatics approaches to aid analysis of data derived from the metabolomic profiling of biological matrices. The successful applicant will lead research activities on an FP7 funded EU-wide collaborative project aimed at establishing biomarker-based strategies for high throughput diagnostic screening. Key tasks will involve multivariate analysis of large datasets, bioinformatic-based selection and validation of identified markers, construction of metabolomic spectral profile databases and development of machine learning/database searching approaches amenable to analytical screening techniques. This position will offer the opportunity to travel and undertake work with project collaborators based in the Republic of Ireland and Europe.</p>

<p>Informal enquiries may be directed to Dr Terry McGrath, email: terry.mcgrath@qub.ac.uk.</p>

<p>Anticipated interview date: Thursday 31st October 2013<br />Salary scale: £30,424 – £39,649 per annum (including contribution points)<br />Closing date: Monday 21st October 2013  </p>

<p>Telephone (028) 90973044 FAX: (028) 90971040 or e-mail on personnel@qub.ac.uk</p>

<p>The University is committed to equality of opportunity and to selection on merit.  It therefore welcomes applications from all sections of society and particularly welcomes applications from people with a disability. </p>

<p>Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.</p>

<p>More @ https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=5616943npO&amp;WVID=6273090Lgx&amp;LANG=USA</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44746/cracking-the-code-a-guide-to-bioinformatics-job-hunting</guid>
	<pubDate>Mon, 23 Dec 2024 19:36:41 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44746/cracking-the-code-a-guide-to-bioinformatics-job-hunting</link>
	<title><![CDATA[Cracking the Code: A Guide to Bioinformatics Job Hunting]]></title>
	<description><![CDATA[<p>Entering the world of bioinformatics is an exciting journey, filled with opportunities to combine biology, data science, and technology to address some of the most pressing scientific challenges. However, securing a position in this competitive field can be daunting, especially for newcomers. Here&rsquo;s a guide to help you navigate the job-hunting process and land your dream role in bioinformatics.</p><h4>1. <strong>Understand the Landscape</strong></h4><p>Before diving into applications, take the time to understand the bioinformatics job market. Common roles include:</p><ul>
<li><strong>Bioinformatics Analyst/Scientist:</strong> Focused on data analysis and interpretation.</li>
<li><strong>Computational Biologist:</strong> Combines computational techniques with biological research.</li>
<li><strong>Data Scientist in Genomics:</strong> Applies machine learning and statistical models to genomic data.</li>
<li><strong>Software Developer in Bioinformatics:</strong> Designs and develops tools and pipelines for biological research.</li>
</ul><p>Familiarize yourself with the key industries hiring bioinformaticians, such as academia, biotech, pharmaceuticals, healthcare, and agriculture.</p><h4>2. <strong>Build a Strong Foundation</strong></h4><p>Bioinformatics demands a diverse skill set. Ensure you have a solid foundation in the following areas:</p><ul>
<li><strong>Programming Skills:</strong> Proficiency in Python, R, or Perl is often required. Familiarity with tools like Bash scripting and version control systems (e.g., Git) is a plus.</li>
<li><strong>Statistics and Data Analysis:</strong> Knowledge of statistical methods, machine learning, and data visualization is crucial.</li>
<li><strong>Biological Knowledge:</strong> Understanding genomics, transcriptomics, and proteomics will help you communicate effectively with biologists.</li>
<li><strong>Specialized Tools and Databases:</strong> Be comfortable using tools like BLAST, Bowtie, and databases like NCBI and Ensembl.</li>
</ul><h4>3. <strong>Create a Winning Resume and Portfolio</strong></h4><p>Highlight your technical skills, biological knowledge, and relevant experience. Tips for a standout application:</p><ul>
<li>Tailor your resume to each job, emphasizing skills mentioned in the job description.</li>
<li>Showcase your experience with real-world datasets by linking to your GitHub profile or online portfolio.</li>
<li>Include details of any publications, presentations, or significant projects.</li>
</ul><h4>4. <strong>Network Actively</strong></h4><p>Networking is often the key to discovering opportunities. Here&rsquo;s how to build connections:</p><ul>
<li><strong>Attend Conferences and Workshops:</strong> Events like ISMB or specialized bioinformatics workshops are great for meeting professionals.</li>
<li><strong>Engage Online:</strong> Join LinkedIn groups, participate in bioinformatics forums, and follow relevant hashtags on Twitter.</li>
<li><strong>Leverage Alumni Networks:</strong> Connect with alumni from your university who are working in the field.</li>
</ul><h4>5. <strong>Gain Relevant Experience</strong></h4><p>Experience is a major factor for hiring managers. Ways to enhance your profile include:</p><ul>
<li><strong>Internships:</strong> Seek out internships in research labs or biotech companies.</li>
<li><strong>Collaborations:</strong> Volunteer to work on projects with professors or peers.</li>
<li><strong>Open Source Contributions:</strong> Participate in bioinformatics software development on platforms like GitHub.</li>
</ul><h4>6. <strong>Prepare for Interviews</strong></h4><p>Bioinformatics interviews often combine technical and behavioral questions. Prepare by:</p><ul>
<li><strong>Reviewing Key Concepts:</strong> Refresh your knowledge of algorithms, sequence analysis, and statistical methods.</li>
<li><strong>Practicing Coding:</strong> Be ready to solve coding challenges or discuss code snippets.</li>
<li><strong>Understanding the Organization:</strong> Research their recent projects, publications, or products.</li>
<li><strong>Preparing Questions:</strong> Demonstrate interest by asking about their tools, workflows, or team structure.</li>
</ul><h4>7. <strong>Stay Resilient and Persistent</strong></h4><p>Job hunting can be a long process, but persistence pays off. Tips to keep moving forward:</p><ul>
<li>Keep improving your skills by taking online courses or certifications.</li>
<li>Stay updated with advancements in bioinformatics by following journals and blogs.</li>
<li>Apply to multiple positions and don&rsquo;t get discouraged by rejections. Each application is a learning experience.</li>
</ul><h3>Closing Thoughts</h3><p>Landing a bioinformatics job requires a mix of technical expertise, networking, and resilience. By understanding the market, showcasing your skills effectively, and continuously learning, you&rsquo;ll be well on your way to a rewarding career in this dynamic field. Remember, the key to cracking the code is perseverance&mdash;stay curious, stay determined, and success will follow.</p>]]></description>
	<dc:creator>Abhi</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7815/post-doc-in-systems-genetics</guid>
  <pubDate>Wed, 08 Jan 2014 19:23:37 -0600</pubDate>
  <link></link>
  <title><![CDATA[Post-doc in Systems Genetics]]></title>
  <description><![CDATA[
<p>Gagneur lab at Gene Center, Ludwig-Maximilians-Universitaet, Munich, Germany</p>

<p>Deadline for applications : January 15, 2014.</p>

<p>Description :</p>

<p>We seek a talented and motivated post-doc to develop computational methods for inferring the molecular basis of genetic diseases by integration of personal omics data. Research topics include: identifying causal mutations of rare disease patients by meta-analysis; inferring disease-causing molecular pathways from genotype, human phenotypes, and omics profile of patient-derived cell lines; and causal inference from longitudinal omics studies of patients. The developed methods will be applied to analyze data from our medical collaborators.</p>

<p>Candidates must either hold a PhD in computational biology or bioinformatics, or hold a PhD in physics, statistics, or applied mathematics with practical experience with high-dimensional data analysis. Experience in quantitative genetics is a plus. Applicants must have a proven publication record and an interest for translational research.</p>

<p>The Gagneur lab is a young, lively and multidisciplinary group with a research focus on systems genetics and gene regulation. It is located at the Gene Center of the LMU (University of Munich), an interdisciplinary institution whose 16 independent research groups investigate the regulation of gene expression at all levels - from the underlying molecular mechanisms to the biological system. The institute is located on the biomedical research campus Munich-Grosshadern, offering a dynamic, interactive and internationally oriented research environment. The dynamism of Munich and the proximity of the Alps provide an excellent quality of life.</p>

<p>The salary is according to the TV-L (German academic salary scale).<br />Applications including a cover letter, CV, and references must be sent by January 15th 2014 to Julien Gagneur (gagneur@genzentrum.lmu.de)</p>

<p>About the lab: http://www.gagneur.genzentrum.lmu.de</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/6380/hidden-markov-models-viterbi-algorithm-markov-chain-exploration-with-script</guid>
	<pubDate>Thu, 14 Nov 2013 13:36:56 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/6380/hidden-markov-models-viterbi-algorithm-markov-chain-exploration-with-script</link>
	<title><![CDATA[Hidden Markov Models, Viterbi Algorithm, Markov Chain Exploration with script]]></title>
	<description><![CDATA[<p><strong>Hidden Markov Models, the Viterbi Algorithm, and CpG Islands (in VB6)</strong></p><p><strong>Problem :</strong></p><p>The CG island is a stretch of DNA (usually longer than 200 bases) in which the frequency of the CG sequence is higher than other regions. It is also called the CpG island, where "p" simply indicates that "C" and "G" are connected by a phosphodiester bond.<br /><br />CpG islands are often located around the promoters of housekeeping genes (which are essential for general cell functions) or other genes frequently expressed in a cell. At these locations, the CG sequence is not methylated. By contrast, the CG sequences in inactive genes are usually methylated to suppress their expression. The methylated cytosine may be converted to thymine by accidental deamination. Unlike the cytosine to uracil mutation which is efficiently repaired, the cytosine to thymine mutation can be corrected only by the mismatch repair which is very inefficient. Hence, over evolutionary time scales, the methylated CG sequence will be converted to the TG sequence.</p><p>Find step wise explanationand implementation steps at <a href="http://dna.cs.byu.edu/bio465/Labs/hmm.shtml">http://dna.cs.byu.edu/bio465/Labs/hmm.shtml</a></p><p>Source code with explanation <a href="http://www.tannerhelland.com/1187/hidden-markov-models-viterbi-algorithm-cpg-islands-in-vb6/">http://www.tannerhelland.com/1187/hidden-markov-models-viterbi-algorithm-cpg-islands-in-vb6/</a></p><p>Fore detail understanding of HMM read this excellent tutorial <a href="http://www.cs.ubc.ca/~murphyk/Software/HMM/labman2.pdf">http://www.cs.ubc.ca/~murphyk/Software/HMM/labman2.pdf</a></p><p>Viterbi Algo at <a href="http://en.wikipedia.org/wiki/Viterbi_path">http://en.wikipedia.org/wiki/Viterbi_path</a></p><p>For firther reading Wiki page <a href="http://en.wikipedia.org/wiki/Hidden_Markov_model">http://en.wikipedia.org/wiki/Hidden_Markov_model</a></p><p>On CpG island paper and for indepth understanding <a href="http://www.biomedcentral.com/1471-2164/12/S2/S10">http://www.biomedcentral.com/1471-2164/12/S2/S10</a></p><p>&nbsp;</p><p>If you are more interested in exploring&nbsp;Markov Chain Exploration and understand it with graphical version please visit <a href="http://www.planet-source-code.com/vb/scripts/ShowCode.asp?txtCodeId=75049&amp;lngWId=1">http://www.planet-source-code.com/vb/scripts/ShowCode.asp?txtCodeId=75049&amp;lngWId=1</a></p><p>Reference:</p><p>1.<a href="http://www.planet-source-code.com/vb/scripts/ShowCode.asp?txtCodeId=75049&amp;lngWId=1">http://www.planet-source-code.com</a></p><p>2. <a href="http://www.tannerhelland.com/1187/hidden-markov-models-viterbi-algorithm-cpg-islands-in-vb6/">http://www.tannerhelland.com</a></p>]]></description>
	<dc:creator>Manisha Mishra</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6562/molecular-bioinformatics-lab-mbl</guid>
  <pubDate>Tue, 19 Nov 2013 18:23:27 -0600</pubDate>
  <link></link>
  <title><![CDATA[Molecular Bioinformatics Lab (MBL)]]></title>
  <description><![CDATA[
<p>The main subject of interest in our laboratory is the study of the relationship among sequence, structure, and function in proteins and nucleic acids. Our research can be divided in two major topics:</p>

<p>the study of the sequence-structure relationship<br />(application -&gt; structure prediction)<br />the study of the structure-function relationship<br />(application -&gt; function prediction)</p>

<p>Therefore, anything related to the configuration (sequence) and conformation (structure) in atomic systems of proteins and nucleic acids, and the interaction of these with other elements (function) is of our major interest.</p>

<p>Lab page @ http://melolab.org/mbl/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6818/scientist-positions-gujarat-state-biotechnology-mission</guid>
  <pubDate>Mon, 25 Nov 2013 10:26:39 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist Positions @ Gujarat State Biotechnology Mission]]></title>
  <description><![CDATA[
<p>Gujarat State Biotechnology Mission invite applications [Online Only] under various projects* namely Gujarat Biodiversity Gene Bank (BioGene), Gujarat Institute of Genomics (GIG), Gujarat Institute of Bioinformatics [GIBS] and Gujarat Institute of Marine Biotechnology. Eligible candidates can Apply through online application portal.</p>

<p>1 Scientist E 3</p>

<p>50,000/-</p>

<p>M.Sc. in Life sciences or Plant Sciences or Biotechnology or Microbiology or Bioinformatics or Ph.D. from a recognized university in any of above subject.</p>

<p>Minimum 8 Yrs. of experience after M.Sc. or 5 Yrs. of experience after Ph.D. in responsible position of work in R &amp; D in the area of genomics/ conservation biotechnology/bioinformatics/Planning/Scientific Administration in Science and technology organization. Highly qualified in the area of modern biology, as evidenced through research experience and proven ability to carry out work in the area of conservation biotechnology. Age limit not exceeding 40yrs.</p>

<p>2 Scientist B 6</p>

<p>30,000/-</p>

<p>M.Sc. in Life sciences or Plant Sciences or Biotechnology or Microbiology or Bioinformatics or Ph.D. from a recognized university in any of above subject shall be preferred.</p>

<p>Minimum 3 Yrs. of experience after M.Sc. in responsible position of work in R &amp; D in the area of genomics/ conservation biotechnology/ bioinformatics /Planning/Scientific Administration in Science and technology organization. Highly qualified in the area of modern biology, as evidenced through research experience and proven ability to carry out work in the area of conservation biotechnology. Age limit not exceeding 35yrs.</p>

<p>The positions are purely on contractual basis for 11 months. Interested candidates can apply online in specified format available at "http://leogen.in/recruit/" The last date of applying is 24th December, 2013. Applications must be submitted online only. Applications submitted in any other format except online prescribed performa will be rejected. Candidates in service must apply through proper channel. Candidates will be required to provide original documents along with duly filled and signed application Performa, as and when called for interview.</p>

<p>For more details please visit the website URL : http://leogen.in/recruit</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/7088/gabi</guid>
  <pubDate>Fri, 06 Dec 2013 16:43:01 -0600</pubDate>
  <link></link>
  <title><![CDATA[GABi]]></title>
  <description><![CDATA[
<p>GABi Research<br />The major researching fields defined as the GABi scope are described next:<br />    Sequence Analysis<br />    Protein Structure Prediction<br />    Comparative Genomics<br />    Functional Analysis of Residues on Protein Families<br />    Gene/Protein Networks<br />    Genome structure &amp; base composition<br />    Highthroughput data analysis from NGS</p>

<p>Lab Page http://gabi.cidbio.org/index/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/7214/lapti-lab</guid>
  <pubDate>Thu, 12 Dec 2013 18:19:12 -0600</pubDate>
  <link></link>
  <title><![CDATA[LAPTI Lab]]></title>
  <description><![CDATA[
<p>The main theme of our research is the understanding of how genetic information is decoded from DNA into RNA and proteins. Someone may find this topic a little strange and argue that we already know how this is happening.</p>

<p>Translational recoding. </p>

<p>RNA editing. </p>

<p>Evolution of the genetic code and translation.</p>

<p>More at http://lapti.ucc.ie/research.html</p>

<p>Lab page http://lapti.ucc.ie/index.html</p>
]]></description>
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