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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
metals for biomedical application. We are seeking a highly motivated Ph.D. candidate (m/f/d) to work on the Atomic Layer Dep-osition (ALD) of transition metals for biomedical applications. The well-defined
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The Leibniz Graduate School on Aging (LGSA) is a joint program of the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) and the Friedrich Schiller University (FSU) in Jena. The School calls
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tissue tropism, and mechanisms of immune evasion. Human cytomegalovirus is the leading cause of congenital infection worldwide. The Department is currently accepting applications for a PhD student (f/m/x
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The Leibniz-Institute for Educational Trajectories invites applications for the following full-time position (salary according to the collective agreement "TV-L" max. E13, 100% working time
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, Marine Geology and Marine Observation works interdisciplinary within a joint research programme. What will be your tasks? The position is part of the DFG-funded project “Methane production by
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, Marine Geology and Marine Observation works interdisciplinary within a joint research programme. What will be your tasks? This position will be embedded in the overarching programme “STB - Shallow Water
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Agreement) salary scale at level 13. Female applicants are given preference in the case of equal qualifications and suitability. Who are we? IOW is an independent marine research institute of the Leibniz
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of Empirical Innovation Economics. Participating in the structured doctoral program of the Munich Graduate School of Economics (MGSE) at LMU. Contributing to exciting and highly relevant policy projects
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the