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    <h1 class="post-title">Contact</h1>
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<h2 id="openPositions">Open positions</h2>

<!--
<h3>Senior scientist position at UzL/UKSH</h3>
<p>We seek a <b><a href="https://jobs.uksh.de/job/L%C3%BCbeck-Senior-Scientist-position-%28mfd%29-computational-biology-bioinformatics-Schl-23538/1074442201/">Senior Scientist</a></b> to support our Computational Biology/Bioinformatics research and trainees with their excellent technical skills at our L&uuml;beck site. Responsibilities include software engineering, machine learning, data analysis and algorithm development. Specifically, developing innovative problem-solving strategies and refining computational methods to understand genomic data and to address complex biological questions. This includes employing cutting-edge bioinformatics tools to analyze high-throughput sequencing data and working closely with interdisciplinary teams in collaborations, contributing bioinformatics expertise to various projects, further developing excisting and new projects as well as co-authoring publications and grant applications. Please apply till Sep 11th through the <a href="https://jobs.uksh.de/job/L%C3%BCbeck-Senior-Scientist-position-%28mfd%29-computational-biology-bioinformatics-Schl-23538/1074442201/">UKSH job portal</a>.</p>

<h3>IGVF PostDoc position at UzL/UKSH</h3>
<p>Join our team at the Institute of Human Genetics as a <b><a href="https://jobs.uksh.de/job/L%C3%BCbeck-PostDoc-computational-biology-bioinformatics-%28mfd%29-%28fulltime%29-Schl-23538/1116314401/">PostDoc in computational biology/bioinformatics</a></b>. Dive into the world of regulatory genomics and contribute to cutting-edge research in sequence analysis, data mining, machine learning, and functional genomics. This full-time position is part of the <a href="https://igvf.org">IGVF consortium</a> and offers a collaborative environment, training, and career development. Decode the mysteries of genetic changes and their impact on disease and adaptation. As a combination of NHGRI and DFG grants, the position would be limited till the end of May 2027, with the prospect of continuation into a second funding period of the IGVF consortium. Please apply by Sep 25th through the <a href="https://jobs.uksh.de/job/L%C3%BCbeck-PostDoc-computational-biology-bioinformatics-%28mfd%29-%28fulltime%29-Schl-23538/1116314401/">UKSH job portal</a>.</p>
-->

<h3>Student assistants</h3>

<p>We are always looking for interested student assistants with skills in programming and/or machine learning for one or two year contracts. Most of our work is performed in Python and R and we actively use Unix-based command line (bash), vscode, snakemake, GitHub and slurm in HPC environments. Student assistants will be involved across projects of the lab, like the study of different genetic variant effects as well as the the composition of cell-free DNA. This may entail their close interaction with the <a href="https://igvf.org">IGVF consortium</a> and our collaborators Jay Shendure (University of Washington, Seattle), Nadav Ahituv (UCSF) and the Human Genetics institute at Medical University of Graz.</p>

<h3>Other positions</h3>

<p>While there are no specific openings right now, please contact us to enquire about potential PostDoc and PhD positions. Positions would be located at the University of L&uuml;beck, Germany (less than hour away from Hamburg) or at the Berlin Institute of Health at Charit&eacute; in Berlin.

<h3>Other interactions (e.g. internships and thesis work)</h3>
<p>Generally, please contact us to enquire potential interactions. We supervise unpaid internships or projects (that are part of study programs) as well as thesis projects (i.e. Bachelor and Masters) at both the Berlin and L&uuml;beck sites.</p>

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    <h2 id="e-mail">E-Mail</h2>

<p>Feel free to contact us with questions about our research, open positions or collaborations:</p>

<p>martin.kircher (at) bih-charite.de or uni-luebeck.de or uksh.de</p>

<h2 id="visiting-address">Visiting Address in Berlin</h2>

<p>We are located on Charit&eacute; Campus Mitte just a short (&lt; 15 min) walk away from the main train station (Hauptbahnhof). The closest bus and tram stop is Robert-Kochplatz or Invalidenpark, respectively. The closest S- and U-Bahn stop is Naturkundemuseum or Hauptbahnhof. Our offices are in the Rahel Hirsch Center for Translational Medicine (Luisenstr. 65, 10117 Berlin) of BIH and Charit&eacute;.</p>

<h2 id="postal-address">Postal Address</h2>

<p>Charit&eacute; &ndash; Universit&auml;tsmedizin Berlin<br>
Berlin Institute of Health<br>
Computational Genome Biology<br>
Charit&eacute;platz 1<br>
10117 Berlin<br>
Germany</p>

<h2 id="visiting-address">Address in L&uuml;beck</h2>

<p>We are part of Institute for Human Genetics of the University of L&uuml;beck (UzL) and the University Medical Center Schleswig Holstein (UKSH) located in the Biomedical Research building (BMF) building on the Campus L&uuml;beck.
Our campus and mailing address is:</p>

<p>Universit&auml;tsklinikum Schleswig-Holstein, Campus L&uuml;beck<br>
Institute for Human Genetics<br>
AG Regulatorische Genomik<br>
BMF, Geb&auml;ude 67<br>
Ratzeburger Allee 160<br>
23538 L&uuml;beck<br>
Germany</p>

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