<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class=""><b class="">Computational / Experimental Postdoc Position</b> </div><div class=""><br class=""></div><div class="">The Research Group “Computational Biology and Evolutionary Genomics” </div><div class="">at the Max Planck Institute in Dresden, Germany has a Postdoc opening. </div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><b class="">Project description:</b></div><div class=""><br class=""></div><div class="">The postdoc will utilize numerous sequenced mammalian genomes to </div><div class="">discover the genomic basis of repeatedly evolved phenotypic differences. </div><div class="">By focusing on natural phenotypes that resemble human diseases, we aim </div><div class="">at connecting basic evolutionary with translational research to identify novel </div><div class="">genes associated with genetic disorders. </div><div class=""><br class=""></div><div class="">The postdoc will apply and further develop our genomics methods, and </div><div class="">analyze the results by integrating biomedical knowledge and functional </div><div class="">genomics data. Promising candidate genes will be tested experimentally, </div><div class="">either by the Postdoc or in collaboration. The Postdoc will work closely with </div><div class="">other members of the lab and our institute on the computational and </div><div class="">experimental aspects. Funding is according to the German TVöD scale.</div><div class=""> </div><div class=""><br class=""></div><div class=""><b class="">Our group:</b></div><div class=""><br class=""></div><div class="">We combine computational biology, comparative genomics and experiment </div><div class="">to investigate how nature's fascinating phenotypic diversity evolved and </div><div class="">how it is encoded in the genome. On the computational side, we generate </div><div class="">high-quality genome alignments, apply comparative methods to discover </div><div class="">key differences in genes and regulatory elements, and use statistical </div><div class="">approaches to associate genomic to phenotypic differences. On the </div><div class="">experimental side, we use RNA-seq, ATAC-seq, functional assays and </div><div class="">CRISPR-Cas9 to reveal the molecular function of genomic regions and </div><div class="">to test causality between genomic and phenotypic differences.</div><div class=""> </div><div class="">Our group is located at the Max Planck Institute of Molecular Cell Biology </div><div class="">and Genetics (MPI-CBG) and we are jointly affiliated with the Max Planck </div><div class="">Institute for the Physics of Complex Systems (MPI-PKS), both in Dresden. </div><div class="">Both institutes are highly interactive and interdisciplinary workplaces, provide </div><div class="">an international atmosphere with English as working language and access to </div><div class="">cutting-edge computational and experimental infrastructure and facilities. The </div><div class="">MPI-CBG was awarded one of the “Best Places To Work for Postdocs” in 2011.</div><div class=""> </div><div class=""><br class=""></div><div class=""><b class="">Requirements:</b></div><div class=""><br class=""></div><div class="">Applicants with a background in both computational and biological sciences </div><div class="">are encouraged to apply. Applicants with a computational background should </div><div class="">have a strong interest in integrating experiments in their research and a desire </div><div class="">to deeply understand the biology underlying mammalian phenotypes and human </div><div class="">disease. Applicants with a biological background should be experienced in using </div><div class="">text file processing tools in a Linux shell environment and should have good </div><div class="">programming skills, for example in a scripting language. Excellent communication </div><div class="">skills and a strong publication record is expected. Previous experience in </div><div class="">large-scale genomic data analysis is an advantage.</div><div class=""> </div><div class=""><br class=""></div><div class=""><b class="">How to apply:</b></div><div class=""><br class=""></div><div class="">If interested, please email</div><div class="">- your CV including publication list and contact information for at least two references</div><div class="">- a summary of previous research experience (max 1 page) </div><div class="">to Michael Hiller (<a href="mailto:hiller@mpi-cbg.de" class="">hiller@mpi-cbg.de</a>).</div><div class="">Further information: <a href="https://www.mpi-cbg.de/hiller" class="">https://www.mpi-cbg.de/hiller</a></div></body></html>