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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
19 Jan 2026 Job Information Organisation/Company Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt Research Field Medical sciences Researcher Profile Recognised
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candidates with essentially the same qualifications. Interested? We are looking forward to receiving your application via e-mail to applications.sem@cs.tum.de.The position will be open until an appropriate
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experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
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leave Smart commuting: Excellent connection to the SWB public transport network and the option of an interest-free loan for the purchase of an e-bike Supported development: Individual training
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the Excellence Cluster for Systems Neurology (SyNergy ) and a Leducq Network on Brain Endothelial Cells. Our environment As part of the DFG-funded Excellence Cluster SyNergy, member of large collaborative research
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on qualifications. Postdoctoral positions are funded for up to 2 years, PhD positions for 3 years. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13 (75% PhD
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. Please submit your application including a cover letter (explaining background and motivation), a CV and transcripts (translated to English or German, if applicable) preferably via e-mail and as a single
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computer programs High level of commitment and flexibility Physical resilience What we offer State-of-the-art laboratory equipment and analysis technology Varied and challenging work An open-minded, helpful
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programming language such as C or Fortran Strong expertise in data analyses and statistics Experience in ecological or environmental modelling Documented ability to publish scientific papers in international
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Ph.D.) in biology, biochemistry, biotechnology or a related field and have published previously in peer-reviewed journals. Knowledge in single-cell RNA-seq, laboratory automation and data analysis, and