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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28269?offset=720</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24258/postdoctoral-fellowship-at-department-of-psychiatry-warneford-hospital-oxford</guid>
  <pubDate>Tue, 01 Sep 2015 05:24:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Fellowship at Department of Psychiatry, Warneford Hospital, Oxford]]></title>
  <description><![CDATA[
<p>Applications are invited for a postdoctoral research assistant to work in the Translational Neuroscience and Dementia Research Group (TNDRG) on a project using informatics approaches to understand and prevent dementia, specifically on the role of the immune system in Alzheimer’s. The post is for a fixed-term duration of 1 year.</p>

<p>Working with other members of the TNDRG you will analyse complex genomic and epidemiological datasets, evaluating which computational tools are most suitable. You will contribute to the generation of innovative tools for linking epidemiological and multilevel omics datasets, ensuring that computer programs are written in a form that other collaborators can use and expand.</p>

<p>You will have or be close to completion of a PhD in either: bioinformatics; neuroscience; machine learning; statistics; epidemiology; neurology; or other relevant field. You will have experience programming on either R, Matlab, Python, C++, Java or any other imperative, object oriented or functional language.</p>

<p>Please direct Informal enquiries to Dr Alejo Nevado-Holgado (alejo.nevado-holgado@psych.ox.ac.uk).</p>

<p>You will be required to upload a supporting statement explaining how you meet the selection criteria for the post, a CV, and details of two referees as part of your online application.</p>

<p>The closing date for applications is 12.00 midday on 2 September 2015. Interviews will be held on Tuesday 15 September 2015. </p>

<p>https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=118696</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42418/scientist-b-bioinformatics-at-aiims-delhi</guid>
  <pubDate>Sun, 20 Dec 2020 04:34:55 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist-B (Bioinformatics) at AIIMS, Delhi]]></title>
  <description><![CDATA[
<p>Name of the Project: “Artificial intelligence in Oncology, Harnessing big data and advanced computing to provide personalized diagnosis and treatment for Cancer patients”</p>

<p>Age Limit: 35</p>

<p>How to Apply for the AIIMS Life Science Job:</p>

<p>Interested applicants are asked to send out a detailed CV to Dr Ashok Sharma (aioncoaiims@gmail.com). Laboratory of Chromatin and also Cancer Epigenetics, Department of Biochemistry with the subject line “Application for Scientist-B position for MeitY project” latest by January 01st, 2021.<br />Complete Information of the year of passing, experience, marks, etc. ought to be mentioned in the CV Incomplete. applications will certainly be rejected Just shortlisted applicants will be called for interview. Chosen candidates will certainly be intimated by email/phone.<br />No TA/DA will certainly be paid for appearing in the interview.<br />Note, The institute reserved the right to fill up or not to fill up the post advertised.</p>

<p>Emoluments: Rs. 56,000/- plus 24 percent HRA</p>

<p>Eligibility:<br />2nd class Master’s Degree with a PhD in a pertinent subject (Bioinformatics) from.a recognized University<br />1st class Master’s degree in Life Sciences (Bioinformatics) from a recognized university OR.<br />Bachelor’s Degree in Engineering or-Technology with minimal 60% marks from a recognized University or equivalent.</p>

<p>Desirable Qualifications:<br />Experience in Bioinformatics/NGS data. Analysis/System Biology/Computer Science/ statistics with experience in Machine learning/Al project.<br />Experience of Deep learning applications in biological data ( image/text).<br />Proficient in Rf Python machine learning libraries.<br />Prior experience in the cancer-related project (ML-based) will be advantageous.<br />Experience with PyTorch/TensorFlow will certainly be very desirable.<br />Applicant should have strong scientific writing as well as. verbal abilities.<br />Papers in sci-indexed journals demonstrating ML skill sets.<br />Database handling will certainly be plus yet not required.</p>

<p>More detail at https://www.aiims.edu/images/pdf/recruitment/advertisement/biochem-16-12-20.pdf</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24328/walk-in-interview-for-srf-jrf-posts-at-junagadh-agricultural-university</guid>
  <pubDate>Tue, 08 Sep 2015 11:58:09 -0500</pubDate>
  <link></link>
  <title><![CDATA[Walk-in-interview for SRF, JRF posts at Junagadh Agricultural University]]></title>
  <description><![CDATA[
<p>Job Description: Walk-in-interview for SRF, JRF posts at Junagadh Agricultural University</p>

<p>Junagadh Agricultural University has given a recruitment notification to fill the posts of Senior, Junior Research Fellows in the establishment.</p>

<p>Name &amp; No: of Posts:</p>

<p>1. Senior Research Fellow: 05<br />2. Junior Research Fellow: 05</p>

<p>Title of the Projects under Senior Research Fellow:</p>

<p>1. Molecular mapping of important traits and their transfer through marker assisted selection in Groundnut and cotton<br />2. Aflatoxin and its management in groundnut at Saurashtra region of Gujarat.<br />3. Improvement in Agricultural Production through nanotechnological inventions at Junagadh.<br />4. Synthesis and Characterisation of chitosan based NPK-Nano fertilizers</p>

<p>Title of the Projects under Junior Research Fellow:</p>

<p>1. Improvement in Agricultural Production Through Nanotechnological Inventions at Junagadh.<br />2. Synthesis and Characterisation of chitosan based NPK-Nano fertilizers</p>

<p>Required Eligibility Criteria:</p>

<p>1. Senior Research Fellow:</p>

<p>Age Limit: Candidates age must be maximum 35 years<br />Educational Qualification: M.Sc in Nanotechnology/Biotechnology/Bioinformatics<br />Salary: Rs. 16,000/- + HRA for first and second year, Rs. 18,000/- + HRA during third year</p>

<p>2. Junior Research Fellow:</p>

<p>Age Limit: Candidates age must be maximum 30 years<br />Educational Qualification: B.Sc or M.Sc degree in the field of Nanotechnology/Biotechnology<br />Salary: Rs. 9,600/- , Rs. 14,400/- p.m</p>

<p>Eligible candidates may attend the walk-in-interview on 10-09-2015 with necessary certificates of testimonials</p>

<p>Click Here for Detailed Recruitment Notification<br />http://www.jau.in/attachments/Advt/BiotechSRFJRF.pdf</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41043/postdoctoral-scientist-genome-analytics-genome-bioinformatics-mf</guid>
  <pubDate>Sun, 16 Feb 2020 02:57:40 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral scientist genome analytics/ genome bioinformatics (m/f/*)]]></title>
  <description><![CDATA[
<p>https://www.uksh.de/jobs/Stellenangebote-nr-20190570-p-8.html<br />Your profile:<br />Degree in bioinformatics, biostatistics, or equivalent<br />Experience in the processing and analysis of large-scale genomics data using compute clusters / high-performance computing<br />Strong competence in working in Unix/Linux environments (shell)<br />Strong programming skills (in particular: Python, R, Perl)<br />Experience with using git and snakemake<br />Fluent English language skills, both spoken and written<br />Strong communication skills and motivation to work in a young, interdisciplinary, dynamic team</p>

<p>Additional Information:</p>

<p>If you have any questions about scientific aspects of this position, please contact Prof. Lars Bertram, head of LIGA (lars.bertram@uni-luebeck.de).</p>

<p>Please contact Ms. Anna Wolbert for further questions about administrative details (recruiting@uksh.de).</p>

<p>Weitere Informationen erhalten Sie auch unter www.uksh.de/karriere.</p>

<p>Wir freuen uns auf Ihre Bewerbung bis zum 15.03.2020 unter Angabe unserer Ausschreibungsnummer 20190570.119.CL.</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24463/project-fellow-at-indian-institute-of-chemical-biology-iicb</guid>
  <pubDate>Tue, 22 Sep 2015 23:47:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Fellow at Indian Institute of Chemical Biology (IICB)]]></title>
  <description><![CDATA[
<p>Advertisement No. : R&amp;C/CD/427/2015  ,Vacancy Code: 4271501    </p>

<p>Project Fellow Bioinformatics recruitment in Indian Institute of Chemical Biology (IICB) purely temporary </p>

<p>Name of the Project:  "Genomics and Informatics Solutions for Integrating Biology(Genesis)".     </p>

<p>No. of Vacancies: 1     </p>

<p>Qualification required : M.Sc in Bioinformatics with 55% Marks. </p>

<p>Experience (Desirable): Candidate should be well versed with sequencing data analysis,assembly and annotation of whole genome sequence. Experience in transcriptional data analysis is also preferred.</p>

<p>Age Limit : 28 Years   <br />  <br />Stipend : Rs.16000<br />How to apply<br />Interested candidates may appear for the walk-in-interview to be held on 28.09.2015 from 11.00 a.m. in the Red Carpet Room with the following documents self attested copy - (1) Matriculation Certificate in support of your date of birth, (2) Degree/Diploma Certificate, (3) Original reprints of all testimonials regarding educational qualification, (4) No Objection Certificate from the employer if employed, (5) Final Mark Sheet of M.Sc. Examination, (6) One Passport size photograph.</p>

<p>http://www.career.iicb.res.in/Recruitment%20Notice.php</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43892/choosing-the-right-ngs-sequencing-instrument-for-your-study</guid>
	<pubDate>Wed, 15 Jun 2022 00:37:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43892/choosing-the-right-ngs-sequencing-instrument-for-your-study</link>
	<title><![CDATA[Choosing the Right NGS Sequencing Instrument for Your Study]]></title>
	<description><![CDATA[<p>The right sequencing instrument for your study depends on your project goal. Setting aside turnaround time and price, it essentially comes down to the numbers of reads and read length you need for your experiment. Below, we've described and compared metrics for each of the instruments available. If you&rsquo;re new to high-throughput sequencing and have questions about how you should design your sequencing run, fill out our&nbsp;<a href="https://genohub.com/ngs-consultation/"><span>free consultation form</span></a>&nbsp;and we'll get in touch with you to help.</p>
<p>More at&nbsp;https://genohub.com/ngs-instrument-guide/</p><p>Address of the bookmark: <a href="https://genohub.com/ngs-instrument-guide/" rel="nofollow">https://genohub.com/ngs-instrument-guide/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24704/2-positions-on-the-evolutionary-analysis-of-biological-sequences-in-montpellier-france</guid>
  <pubDate>Mon, 28 Sep 2015 08:25:48 -0500</pubDate>
  <link></link>
  <title><![CDATA[2 positions on the evolutionary analysis of biological sequences in Montpellier - France]]></title>
  <description><![CDATA[
<p>The Methods and Algorithms for Bioinformatics (MAB) team at the LIRMM (computer science, robotics and microelectronics laboratory at the CNRS &amp; University of Montpellier, France) is looking for talented individuals to fill two postdoctoral positions.  We are seeking candidates with a strong background in computational evolutionary biology. The positions will start by the end of 2015.<br /> <br />The first of the positions (duration: 18-24 months), associated with the European VIROGENESIS project (http://www.kuleuven.be/english/research/EU/p/horizon2020/sc/sc1/Virogenesis), concerns the evolutionary analysis of viral sequences.  Topics include -- but are not limited to -- phylogenetic classification of metagenomic reads and the recombination history of viruses.<br /> <br />The second position (duration: 1 year), associated with the Institute for Computational Biology (IBC, http://www.ibc-montpellier.fr), concerns evolutionary analyses of large-scale genomic data -- including the inference of very large phylogenies, gene/species tree reconciliation, comparative genomics, phylogenetic network inference and verification, phylogeography, the use of phylogenies to study the evolution of characters.<br /> <br />A one thousand year old city, Montpellier is a thriving research community with a multitude of biology and biomedical research centers.  It is the fastest growing city in France where approximately one third of the population are students, and a wonderful location for outdoor activities (kite/wind surfing, sailing, river/sea kayaking, hiking and rock climbing).  The LIRMM is one of the most visible computer science laboratories in France.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44229/common-steps-for-reads-mapping</guid>
	<pubDate>Thu, 09 Mar 2023 02:48:02 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44229/common-steps-for-reads-mapping</link>
	<title><![CDATA[Common steps for reads mapping !]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><p>Mapping reads to a reference genome is an essential step in many types of genomic analysis, such as variant calling and gene expression analysis. Here are some general steps to follow for mapping reads to a genome:</p><ol>
<li>
<p>Choose a read mapper: There are many read mappers available, such as BWA, Bowtie, and HISAT2. Choose a mapper that is appropriate for your type of data and research question.</p>
</li>
<li>
<p>Index the reference genome: Before mapping reads, the reference genome needs to be indexed. This involves creating an index of the genome sequence that allows the mapper to quickly find matches to the reads. Most mappers have their own indexing tools.</p>
</li>
<li>
<p>Prepare the read data: The reads should be in a format that is compatible with the mapper. Most mappers accept FASTQ or BAM files. Depending on the quality of the data, it may need to be filtered or trimmed before mapping.</p>
</li>
<li>
<p>Run the mapper: The mapper is run with the command-line interface or using a graphical user interface. The specific command depends on the mapper being used, but typically involves specifying the input data, reference genome, and output file format.</p>
</li>
<li>
<p>Evaluate the mapping results: After the mapping is complete, the results should be evaluated. This includes assessing the quality of the mapping, such as the mapping rate, the number of mapped reads, and the mapping quality score.</p>
</li>
<li>
<p>Post-processing: Depending on the analysis being performed, post-processing of the mapped reads may be necessary. This can include filtering reads based on quality, removing duplicate reads, and calling variants.</p>
</li>
</ol><p>Overall, mapping reads to a reference genome is a complex process that requires careful consideration of the type of data, the research question, and the specific mapper being used.</p></div></div></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25307/srfjrf-bioinformatics-at-iari</guid>
  <pubDate>Sun, 29 Nov 2015 03:00:44 -0600</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF Bioinformatics at IARI]]></title>
  <description><![CDATA[
<p>Agricultural Knowledge Management Unit</p>

<p>ICAR-INDIAN AGRICULTURAL RESEARCH INSTITUTE</p>

<p>L.B.S Building, Pusa Campus,</p>

<p>New Delhi-110012</p>

<p>Walk-in-Interview: 18th December 2015</p>

<p>DBT funded project: Distributed Information Centre under BTISnet (PI: Dr. A.K.Mishra)</p>

<p>Senior Research Fellow Two</p>

<p>    Rs 28000/- + HRA</p>

<p>    i) Master’s degree in Bioinformatics or Computer Science+ NET qualification and two years research experience, or</p>

<p>    ii) M. Tech degree in Bioinformatics or Computer Science /Engineering with two years research experience Efficiency to handle agricultural databases and bioinformatics tool development</p>

<p>#Junior Research Fellow</p>

<p>    Rs. 25000/- + HRA</p>

<p>    i) Master’s degree in Bioinformatics or Computer Science + NET qualification, or</p>

<p>    ii) M. Tech degree in Bioinformatics or Computer Science/Engineering Efficiency to handle agricultural databases and bioinformatics tool development</p>

<p>Traineeship Two</p>

<p>    Rs. 8000/- consolidated</p>

<p>    M.Sc./M. Tech (Bioinformatics) with 60 % marks from a recognized University</p>

<p>Studentship Four</p>

<p>    Rs. 8000/- consolidated</p>

<p>    Final year M.Sc./ M.Tech (Bioinformatics) Students from a recognized University</p>

<p>* M. Tech with Four Years Bachelor’s degree followed by Master’s degree</p>

<p># In case suitable person is not found for SRF position, it may be filled at the JRF level The interview will be held on 18 th December 2015 at 10:00 AM at AKMU, LBS Building, IARI, Pusa Campus, New Delhi-110012. Terms and Conditions:  Maximum age limit is 35 years for all positions. Age relaxation of 5 yrs for SC/ST/OBC and woman candidates will be given.  The above post is purely temporary and is co-terminus with the project. The candidate shall not claim for regular appointment.  No TA/DA will be paid for attending the interview.  Bring self attested copies and originals of all certificates ( class 10th )onwards along with biodata in the attached format, proof of date of birth, one passport size photo, NOC from present employer, if any  Canvassing in any form will disqualify the candidate. </p>

<p>Reporting time for interview: 9.30-10.00 AM at AKMU, IARI, New Delhi -110 012</p>

<p>Advertisement:</p>

<p>www.iari.res.in/files/SRF_JRF_Akkmu-27112015-20151127-124003.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/34711/1mb-long-dna-with-nanopore-technology</guid>
	<pubDate>Tue, 19 Dec 2017 18:49:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/34711/1mb-long-dna-with-nanopore-technology</link>
	<title><![CDATA[1mb long DNA with Nanopore technology]]></title>
	<description><![CDATA[<p>The first continuous DNA read of more than a million bases (&gt;1Mb) has been achieved, using Oxford Nanopore sequencing technology. Congratulations to Martin Smith and collaborators! Read more: http://bit.ly/2j5TNCO</p>]]></description>
	<dc:creator>Jit</dc:creator>
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