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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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which NC machines are programmed for material removal. Considerable expert knowledge is required for the necessary selection of suitable production tools and the definition of tool movements
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are seeking two excellent and enthusiastic PhD students with a strong interest in microbiome research. The specific focus of the PhD projects will be tailored to the candidate’s interests and will align with
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to an internationally competitive PhD degree and internationally peer-reviewed publications. The position will include significant involvement in selected nationally and internationally funded projects, such as various
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Forschungsgemeinschaft and the consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking two excellent and enthusiastic PhD students with a strong interest in microbiome research
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analytical facilities of TERRA at the University of Tübingen and Hohenheim as well as the Senckenberg Society for Nature Research (including administrative management). Candidates should hold a PhD or MSc in
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Dresden, TU Berlin and TU Braunschweig) and the German Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates over the next years. The following main research goals
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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University and at the Heidelberg University of Jewish Studies (depending on PhD supervision), the following positions (65%) for up to 3+1 years are to be filled by 1 April 2026: 12 pre-doctoral research
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in