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Description The International Max Planck Research School for Quantitative Behavior, Ecology and Evolution from lab to field (IMPRS-QBEE) is looking for two motiviated PhD students to start latest in
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societal relevance, we unit a wide range of disciplines and understand research as a joint effort. With more than 400 employees and guests from all over the world, we conduct research at five locations in
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cutting-edge research on the physiology, behavior, welfare, and genetics of non-human primates. In addition to its laboratories in Goettingen, it manages five field stations in the tropics . The DPZ is
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). Tasks The successful candidate will conduct cutting-edge empirical research in at least one of the following areas natural resources and environment, digitalisation, AI and smart technologies in
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. Conduct excellent research in the field of solid-state quantum photonics, leveraging the combined expertise of the two physics clusters of excellence at Leibniz University Hannover. Who are we looking
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(starting at TV-L E13 2/3). Tasks The successful candidate will conduct cutting-edge empirical research in at least one of the following areas productivity and efficiency measurement at various levels, policy
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at the University of Tübingen. Students in the group receive excellent training and supervision and the opportunity to conduct research at large-scale international facilities, such as synchrotron and neutron sources
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disciplines and understand research as a joint effort. With more than 400 employees and guests from all over the world, we conduct research at five locations in Berlin and at Lake Stechlin (Brandenburg). IGB is
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molecular biology techniques and smFISH. Conduct multi-omics data integration across experimental platforms (e.g. NGS, Imaging time lapse, particle tracing) Collaborate with interdisciplinary research teams
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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning