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Your Job: Reinforcement Learning (RL) is a versatile and powerful tool for control, but often data-inefficient, requiring numerous updates and non-local information such as replay buffers and batch
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processes that produce energy and raw materials. The Department of Structural Materials is looking for a PhD Student (f/m/d) in Ion Irradiation and Materials Characterization of Novel Additively Manufactured
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the solid state Reactivity and catalysis studies Close co-operation with other team members Active participation in group activities and outreach projects You will use your research results for scientific
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diverse working day is guaranteed! During the project, you will develop and implement self-learning control algorithms that balance computational demand and modeling precision. You will evaluate, interpret
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interdisciplinary research approaches and has very good command in spoken and written English. Fundamentals of knowledge transfer are desired and an aptitude for and openness to interdisciplinary teamwork. Please
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diverse working day is guaranteed! During the project, you will develop and implement self-learning control algorithms that balance computational demand and modeling precision. You will evaluate, interpret
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(physics, mathematics or geosciences) Experience in numerical modelling of geodynamic processes and/or continuum mechanics It would be an asset to have command expertise in modelling the interlink between
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
how host immunity and symbiotic nutrient cycling interact to control symbiosis dynamics. Both PhD students will work in close collaboration and be fully embedded in the interdisciplinary photosymbiosis
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
multi-omics to investigate how host immunity and symbiotic nutrient cycling interact to control symbiosis dynamics. Both PhD students will work in close collaboration and be fully embedded in
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documents, including OCR post-processing and parsing of legacy texts Proficiency in scientific programming (preferably Python), version control (e.g. Git), and data standards such as RDF and Darwin Core