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parametrize wind-wave energy flux mechanisms. The overall goal of the research project is to develop process understanding and parametrizations that lead to improved, energetically consistent, climate models
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science. A wide range of quantum theoretical methods shall be employed. A solid background in quantum mechanics and programming skills are prerequisite for this position, as is the readiness to learn and to
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interdisciplinary team bridging molecu-lar microbiology, ecology and infection research with the focus to understand mechanisms of host-microbe and microbe-microbe interaction in the gut. Our lab has a broad
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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or
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harsh process conditions Investigation of the underlying deactivation mechanisms Development of regeneration strategies for deactivated catalysts Coordination with internal and external project partners
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part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral programme is compulsory. This serves
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degree in the fields of geosciences, resource management, energy technology, mechanical engineering, industrial engineering, physics, or comparable Basic knowledge in hydrology, resource management, energy
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magnetic components of the dynamo are to be simulated numerically. Your profile: Potential candidates (m/w/div) should hold a Masters or Diploma degree in Materials Science, Mechanical Engineering
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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