{"id":6379,"date":"2019-09-09T12:07:40","date_gmt":"2019-09-09T10:07:40","guid":{"rendered":"https:\/\/www.resist-cluster.de\/?page_id=6379"},"modified":"2025-11-11T17:35:21","modified_gmt":"2025-11-11T16:35:21","slug":"jobs","status":"publish","type":"page","link":"https:\/\/www.resist-cluster.de\/en\/career\/jobs\/","title":{"rendered":"Jobs"},"content":{"rendered":"

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RESIST – Jobs<\/h1><\/div>
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RESIST is not only a vibrant research network, but also an employer and career supporter for young investigators. Should there be no concrete job offers, we as a Cluster of Excellence are of course always interested in committed and talented scientists. Therefore, please do not hesitate to send us a speculative application. Please send your application directly to the respective research group leader.<\/p>\n

Should we have no job offers and therefore no current job postings on this page, you are welcome to apply spontaneously. Please send your application to the respective research group leader.<\/p>\n<\/div>

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Learn more about our research projects<\/span><\/a><\/div><\/div><\/div>
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Current job offers<\/h1><\/div>
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Computational PhD student<\/h2><\/div>

At the Microbial Pangenomes Lab<\/strong> we are looking for a candidate to fill a computational PhD student position, with the main task of better understanding which genetic elements (\u201cgenes\u201d) make bacterial pathogens such as E. coli, K. pneumoniae, P. aeruginosa, <\/em>and E. faecium<\/em> virulent and resistant to antibiotics. We have in fact developed methods to sift through large numbers of bacterial genomes for this exact purpose, and it will be the job of the candidate to use and improve these methods so that they can be applied to an even larger number of genomes. We are also particularly interested in implementing more machine learning methods and to integrate molecular phenotypes such as gene expression and proteomics.<\/p>\n

Our lab is part of the RESIST excellence cluster at Hannover Medical School (MHH), and we are part of a collaborative project with Susanne H\u00e4ussler and Meike Stiesch to identify genetic determinants of pathogenicity and virulence in life-threatening bacterial infections.<\/p>\n

We are looking for a candidate with a strong computational background and relevant technical skills:<\/p>\n