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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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networks using the numerical simulations Calculating the likelihood of material parameters correctly describing experimental results Correlating material parameters with process conditions of sample
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in physics, physical chemistry, chemical engineering, or related field Knowledge and competences in physical theory and modelling Experience and interest in computer programming Basic knowledge
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) for scientific and large-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks
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science, physics or a comparable field of study Background knowledge and proven interest in the field of electrochemistry Fluent in spoken and written German as well as English Willingness to get familiar
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membrane electrode assemblies (MEAs) for electrochemical characterization Physical, spectroscopic, and electrochemical characterization of MEAs prior to, during, and after operation Participation in project
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well as in fuel cells. Your tasks in detail: Manufacturing of catalyst layers and membrane electrode assemblies (MEAs) for electrochemical characterization Physical, spectroscopic, and electrochemical
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Your Job: Investigations of solid-state chemical and physical processes that affect stability in MOX spent nuclear fuel materials and model systems Synthesis and characterization of ceramic uranium
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testing process Your Profile: Excellent master degree in chemistry, physics, engineering, or a related discipline Strong interest in pursuing research on electrochemical systems Strong background with one
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PhD Position - Modeling and simulation of memristive devices for application in neuromorphic systems
Your Job: The aim of this doctoral project is to develop physical simulation models for memristive devices. In particular, a compact model that describes the switching behavior of gradual switching