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learning and advanced statistical modeling * Proficient programming skills in Python and/or R, experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for highly qualified scientists and scholars of all disciplines from selected developing
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Max Planck Institute for Social Anthropology, Halle (Saale) | Halle, Sachsen Anhalt | Germany | about 2 months ago
doctoral candidates in the final stage of their programme to spend up to 4 months at the Institute to take advantage of its resources while finalizing their dissertations. The topic must be of immediate
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 4 hours ago
clearly related to the Institute’s research profile, a project outline of the research you plan to carry out at the Institute also related to the Institute’s research agenda (max. 2000 characters), and the
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 7 days ago
related to the Institute’s research profile, a project outline of the research you plan to carry out at the Institute also related to the Institute’s research agenda (max. 2.000 characters), and the desired
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hubs for STS, we are a lively intellectual community of 80+ researchers from numerous disciplines and fields of specialization. As a department, we deliver 2 Master’s programs and design STS content
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stepped-care prevention program with the following core components: “Mental health project days”, A digital emotion regulation training, and Tailored e-mental health modules, depending on the individual
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atmosphere in a motivated and friendly team, the opportunity for regular further training and a targeted induction programme Very good work-life balance Max Planck family office, support through an external
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promoted. The ERA Fellowships – Green Hydrogen programme, funded by the Federal Ministry of Education and Research (BMBF), is complemented by comprehensive networking measures and the establishment of four
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atmosphere in a motivated and friendly team, the opportunity for regular further training and a targeted induction programme Very good work-life balance Max Planck family office, support through an external