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Geißelbrecht, our department researches and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. In particular, issues in the field of the LOHC technology are
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, chemistry, material science, chemical engineering or related disciplines Experience in the field of energy storage Knowledge of X-ray methods Experience with programming languages (ideally Python) Fluent in
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PhD Position - Modeling and simulation of memristive devices for application in neuromorphic systems
degree in physics, electrical engineering or in a related subject Interest in theoretical and interdisciplinary work Experience in device physics and numerical simulations is desirable Fluent in English
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to develop your own independent scientific program within the topic Working at the interface of applied and fundamental science towards beneficiating spent nuclear fuel disposal and the nuclear fuel cycle
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Your Job: We look for excellent candidates who are interested in experimental work on van der Waals heterostructures for the engineering and characterization of exotic superconducting phases