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involvement in data collection and analysis in Work Package 2 on "governance ruptures" assisting the project team with ERC grant management and organization of associated project events tasks for personal
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on project publications assistance with ERC grant management and organization of associated project events Requirements: completed scientific university education in a social science subject (e.g. political
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of epidemiologists, psychologists and social scientists focusing on public health and policy measures to develop innovative solutions to close the global mental health care gap. For our project STRESS-CARE, we
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 25 days ago
the global mental health care gap. For our project STRESS-CARE, we are looking for a committed research fellow who joins our team on 1 January 2026. STRESS-CARE aims to strengthen adolescents’ mental health
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About the position We are excited to invite applications for a Postdoctoral Researcher to join our team in developing cutting-edge computational tools for the design, synthesis, and characterization
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liability insurance A mandatory nursing care insurance amounting to approximately €50 (depending on age) will be deducted from the scholarship payment on a monthly basis for a subsidy period of 12 months
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propose their own interdisciplinary research vision projects, which must be jointly supervised by at least two MDC research groups, fostering collaboration across disciplines and promoting novel scientific
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scheme (VBL), benefits for job ticket/Germany ticket, special annual payment, capital-forming benefits, company health management (back training, health day with various offers), discounted sports offers
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to 24 months) of their own design in cooperation with an academic host they have chosen at a research institution in Germany. The research must deal with issues of major relevance to the future
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projects on metabolic diseases * Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories * Collaborate with clinicians