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also designed to allow networking between (marine) institutions. We therefore offer the possibility for candidates to foster external relationships, or in consultation, to bring in additional advisors
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Your Job: We are seeking highly motivated postdoctoral researchers to join these projects. If you are passionate about protein dynamics and design, protein function prediction, small molecule
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dynamism. Its status as a comprehensive university allows for multidisciplinary learning and teaching and has great potential for internationally renowned, interdisciplinary research. Almost all of its
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, the model will maintain a global scope to capture international interactions, such as the demand for agricultural products from regions like the EU. This research will inform the design of effective and
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science & physics, biomaterials, nanotechnology, electrical engineering, and neurobiology. To learn more about our group’s recent work in this field, please check out some of our recent publications, here
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of high-throughput systems is maximized using design of experiment (DoE) approaches in order to efficiently explore the high-dimensional parameter space of the electrolysis processes. DoE is required
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
Integrative Postdoc Pool) is also designed to allow networking between (marine) institutions. We therefore offer the possibility for candidates to foster external relationships, or in consultation, to bring in
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
). The Empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization