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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41231/phd-student-bio-informatician-in-computational-protein-modeling</guid>
  <pubDate>Sun, 23 Feb 2020 03:46:46 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD student / Bio-informatician in computational protein modeling]]></title>
  <description><![CDATA[
<p>PhD student / Bio-informatician in computational protein modeling<br />Job Profile<br />You will perform research on drug/protein interaction analysis in the context of lung cancer, using computational protein modeling. You will implement existing models predicting drug efficacy, related to EGFR-driven cancer. You will translate these models to novel oncogenes, including ROS1. You will validate these models against experimental data from a parallel project, with the final goal of deployment of your methods into clinical decision making. Your work will be embedded in an international network consisting of both academic partners and ROS1-NSCLC patient organizations.</p>

<p>Requirements</p>

<p>You are (or soon will be) a master in bio-informatics. You have strong ICT skills and you are eager to fully submerge into the world of protein modeling. You have good experience with Linux and one or more programming languages as well as knowledge of tertiary structure analysis. Candidates with a Master degree in one of the life sciences (Biomedical sciences, Biochemistry, Bio-engineering, Biostatistics, …), with relevant interest and extended experience in this field are also welcome. A general background cancer biology and genetics is needed. You are willing and eligible to apply for a personal PhD fellowship with the Flemish FWO (FWO.be). Therefore, it is required that you hold a master degree from a European university, and have not obtained your master diploma more than three years ago (see FWO website for detailed conditions). Proficiency in English, and good communication skills, both oral and written, are required. You are highly motivated, and you like to work in an interactive research team. You are willing to work on a 4-year PhD project starting beginning of 2020.</p>

<p>What we offer</p>

<p>We offer a one year position, as a PhD student, which can be extended up to 4 year upon positive evaluation, even if a personal fellowship application is not successful. Wages are according to the standard Flemish bursary levels for PhD students.</p>

<p>Interested?<br />For additional information please contact dr. Geert Vandeweyer. To apply, send a copy of your CV including details of your relevant skills and a motivation letter by e-mail to dr. Geert Vandeweyer (geert.vandeweyer@uantwerpen.be) before March 15, 2020.</p>

<p>Source:https://academicpositions.be/ad/university-of-antwerp/2020/phd-student-bio-informatician-in-computational-protein-modeling/141252?utm_source=jooble&amp;utm_medium=cpc&amp;utm_campaign=jooble</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/41042/phd-in-immunology-lmu</guid>
  <pubDate>Sun, 16 Feb 2020 02:36:12 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD in Immunology LMU]]></title>
  <description><![CDATA[
<p>https://www.sfb1054.med.uni-muenchen.de/open_positions1/phd_immunology_2020.pdf</p>

<p>Applicants should hold a Masters or equivalent degree in Immunology, Cell biology,<br />Molecular Biology, Molecular Medicine or similar and should have a strong commitment to<br />research and to a scientific career. In depth knowledge of Immunology is required and<br />previous practical experience in molecular biology techniques, basic immunological<br />techniques and mammalian cell culture are desirable. Applicants should show an aptitude to<br />teamwork, constructive discussion of results and creative thinking. Proficiency in spoken and<br />written English is expected.<br />LMU is an equal opportunities employer and welcomes applications from all qualified<br />candidates. LMU explicitely encourages the application of women.<br />Please send your application per e-mail as a single pdf-file including:<br />• Letter of motivation<br />• Curriculum vitae<br />• Qualifications<br />• References<br />Please send your application to: anne.krug@med.lmu.de until 25.02.20</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41041/post-doc-computational-biology-bioinformatics-network-biology-data-science-ngs-mfd</guid>
  <pubDate>Sat, 15 Feb 2020 06:13:35 -0600</pubDate>
  <link></link>
  <title><![CDATA[Post Doc Computational Biology, Bioinformatics - Network Biology &amp; Data Science, NGS (m/f/d)]]></title>
  <description><![CDATA[
<p>https://www.jobvector.de/jobs-stellenangebote/biologie-life-sciences/forschung-entwicklung/post-doc-computational-biology-bioinformatics-network-biology-data-science-ngs-129867.html?suid=e522e9793b41817e52ac58d6963b94e2519920df</p>

<p>Requirements<br />Doctoral degree in Bioinformatics, Computational Biology, (Bio)physics/-mathematics, Biochemistry/Biology or similar with strong quantitative and numeric focus<br />Ability to numerically process complex and large data sets<br />Good programming skills (R/Bioconductor and/or Python preferred, Linux is a plus)<br />Experience in analyzing next-generation sequencing data sets using network biology<br />Scientific publication record in applied bioinformatics<br />Familiarity with single cell NGS analyses and other –omics techniques is a plus, but not essential</p>
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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>
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