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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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project meetings with the involved partners from industry and research Your Profile: Successfully completed Master`s degree in chemistry, materials science, physics or a comparable field of study Background
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about new scientific endeavors with interdisciplinary approaches. For this you have: A completed university degree (Master or equivalent) in data science, computer science, mathematics, materials science
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the complete chain from materials properties to process design and evaluation. More information on the project can be found here: This specific project (DC7) addresses membrane adsorbers, which have small
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) in the field of Physics, Chemistry, Materials Science or a comparable field with an excellent final grade Good knowledge in the field of quantum mechanics, quantum chemistry and/or modeling Knowledge
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: Excellent Master degree in Chemistry, Organic chemistry, or a relevant discipline Experience in basic electrochemical methods Desirable knowledge of Material science Excellent organizational skills, ability
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PhD Position - Modeling and simulation of memristive devices for application in neuromorphic systems
influence of different materials Close interaction with experimental colleagues to evaluate the simulation results. Development of design rules for efficient memristive switching cells Your Profile: Master
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, chemistry, material science, chemical engineering, or related disciplines Knowledge of X-ray methods Experience in the field of energy storage Experience with programming languages (ideally Python) Fluent in
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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