<html><head><meta http-equiv="Content-Type" content="text/html charset=windows-1252"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;">Dear all<div>We have a fully paid PhD position in Copenhagen - please share! Full application link: <a href="http://jobportal.ku.dk/phd/?show=675563">http://jobportal.ku.dk/phd/?show=675563</a></div><div><br></div><div><br></div><div><h1 style="font-size: 1.4em; margin: 0px 0px 12px; color: rgb(74, 73, 73); background-color: rgb(255, 255, 255); font-family: Verdana, Arial, Helvetica, sans-serif; line-height: 16px;">PhD scholarship in Plant Transcriptomics</h1><div class="vacancy_details_area" style="color: rgb(74, 73, 73); font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px; line-height: 16px;"><div style="margin: 0cm 0cm 6pt;">The Department of Biology, University of Copenhagen, is recruiting a PhD student for a 3-year project to work on plant transcriptomics.</div><div style="margin: 0cm 0cm 6pt;">The starting date is November 1, 2014 or as soon as possible thereafter. The project is jointly supervised by Professor Albin Sandelin and Associate Professor Peter Brodersen at the Section for Bioinformatics and RNA Biology. The groups are housed in Copenhagen Biocenter in central Copenhagen, Denmark (<a href="http://www.biocenter.ku.dk/" style="text-decoration: none; color: rgb(61, 35, 156);"><font color="#0000ff">http://www.biocenter.ku.dk/</font>).</a></div><div><strong>Project</strong></div><div>The main focus of the project is to use high-throughput sequencing techniques and computational analyses to generate cell-type specific maps of transcription initiation sites and enhancer activity in <em>Arabidopsis</em> (for examples of our current work, see Andersson et al. (2014), <em><span style="color: rgb(38, 38, 38);">Nature</span></em><span style="color: rgb(38, 38, 38);"> <strong>507</strong>, 455–461 and Poulsen et al. (2013) <em>Plant Cell</em> <strong>25</strong>: 22-37).</span></div><div style="margin: 0cm 0cm 6pt;">The main task will be computational analysis of sequencing data, but construction of libraries for sequencing will also be part of the work.</div><div><strong>Qualifications</strong></div><div style="margin: 0cm 0cm 6pt;">We are seeking highly motivated individuals with a Master’s degree in bioinformatics or equivalent, with additional understanding of experimental molecular biology from courses at the bachelor or master level, and an interest in laboratory work. We strongly require documented experience in a programming script language such as Python or Perl, linux/unix systems, statistics using R and high-throughput data analysis. Experience in transcriptomics data analysis and mining is a big advantage. Fluency in spoken and written English is a strong requirement.</div><div style="margin: 0cm 0cm 6pt;"><br></div><div style="margin: 0cm 0cm 6pt;"><br></div></div><div apple-content-edited="true">
<div><div style="orphans: 2; widows: 2;">Albin Sandelin</div><div style="orphans: 2; widows: 2;">Professor, PhD</div><div style="orphans: 2; widows: 2;">Section for Computational and RNA Biology, Department of Biology & Biotech Research and Innovation Centre, Copenhagen University</div><div style="orphans: 2; widows: 2;">Ole Maaloes Vej 5, DK2200, Copenhagen N, Denmark</div><div style="orphans: 2; widows: 2;"><br></div><div style="orphans: 2; widows: 2;">tel +45 224 56668</div><div style="orphans: 2; widows: 2;"><a href="mailto:albin@binf.ku.dk">albin@binf.ku.dk</a></div><div style="orphans: 2; widows: 2;">skype albinsan</div><div style="orphans: 2; widows: 2;"><br></div><div style="orphans: 2; widows: 2;"><br></div></div><br class="Apple-interchange-newline">
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