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with hosts in other countries. Programme information for postdocs (PDF, 132 KB) Programme information for experienced researchers (PDF, 138 KB) Search for potential hosts in the Humboldt Network (German
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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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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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identification of spider mite infestation foci and needs-based beneficial insect application in outdoor cucumber cultivation’, which is funded by the BMBF within the funding programme KMU-innovativ: Bioökonomie
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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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(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app
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), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological
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campus for natural and life sciences in Germany, bridging engineering sciences, computational sciences, and life sciences. Heidelberg University invites applications for the following full-time postdoc
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2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition Facility, there is a global endeavour to turn the scientific milestone into practical application
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational