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development of coupled techniques, methods, and tools existing in the group Collaboration with catalyst synthesis and theory groups to design advanced electrocatalysts using the knowledge obtained in
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control, human-robot collaboration, and smart grids. For this reason, their design and deployment should be accompanied by a formal check of correct behaviour. The Research Training Group on Continuous
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employers in the region.] The Research Training Group 3082 “Engineering Covalent Bonds in Molecules and Materials (Ec=m2), funded by the DFG (German Research Foundation), will be located in the Departments
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a PhD student: New Deep Learning - based Framework for Energy Modelling: Combination
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from now, a PhD student position is available in the research group of Dr. Jian Wang, an independent group leader of DWI. The research in his group aims to open new frontiers in multiple scientific
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the necessary skills to build a successful career, whether in academia or beyond. Course organisation First and second semesters: theory and methods seminar, study group, colloquium, summer school Third to sixth
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the start, with support available for organising, planning, and carrying out your dissertation projects. You will have the opportunity to join several interdisciplinary research groups to discuss interesting
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Your Job: Research: employ on quantum field theory in curved spacetime to model photon kinematics Output: publish in peer reviewed journals, seek patent applications when possible Dissemination
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 1 day ago
of string theory motivated gravity models or the mathematics research groups. Medicine and Health Sciences: Members of this PhD study programme are integrated in the different research fields
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a Research Associate / PhD: Physics-informed deep learning for PDE-constrained optimization