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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 22 days ago
, to age at last birth, collected across different populations, will be analysed. Your Profile We welcome applications from researchers with a PhD (or receive it soon) in demography, sociology, health
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certification (e.g. Bachelor, Master, Diploma, PhD) Brief description of your current activities (studies or professional activities) Max. three-page outline of your planned research project, including detailed
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by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD). Tasks: Participate in and
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M.Sc. (plus PhD preferred) in a quantitative field such as Bioinformatics, Computational Biology, Statistics, Computer Science, or a related discipline Proven experience in analyzing and integrating
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: University degree in biology, biochemistry, molecular medicine or equivalent; PhD preferred, but not required. Equivalent experience and degrees will be duly considered. Outstanding English grant and
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, chromatin profiling, and advanced imaging. The successful candidate will have the opportunity to develop and lead their own independent research project and build a small research team by hiring PhD students
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methods using state-of-the-art methods of High Performance Computing (HPC) Your profile: Recruitment requirement Completed PhD degree, in particular in the subject areas of computational engineering or
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information of TUM. Kontakt: contmech@mw.tum.de More Information https://www.epc.ed.tum.de/ddmm/aktuelles/article/phd-position-in-collaboration-with-bmw-on-data-driven-modeling-of-structural-foams-for-high
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experience in at least one of the following fields: PhD in biology, medicine, or a related field Hands-on experience in molecular & cell biology Certification & experience with animal research Strong
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01.09.2025, Wissenschaftliches Personal PhD-Position in der Neurogenetik: Neue genetische Sequenzierungstechnologien zur Erforschung seltener neurologischer Erkrankungen in einem interdisziplinären