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the overall design Your Profile: Master’s degree in the field of natural sciences, engineering, or a related field of study Knowledge of energy process engineering is an advantage Huge interest in energy
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building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a programming
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of the Modelica building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a
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electrochemical NMR setups may influence spin state preparation using spectrograms Your Profile: Ongoing master studies in chemistry, physics, data science, computer science or a related field Knowledge on
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Internship / Master Thesis – Quantum Optimal Control Algorithms for Electrochemical NMR Applications
, physics, data science, computer science or a related field Knowledge on the fundamentals of NMR spectroscopy Experience in Python programming Expertise on the fundamentals of electrochemistry and spin
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creating better science through pragmatic solutions. For this you will bring: University degree (Master, Diploma or equivalent) in Material Science or other adjacent fields (e.g. Physics, Chemistry
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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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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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: Scientific and/or technical background (physics / electrical engineering etc.) Good grades in the current Master`s programme Good knowledge of English and German High degree of independence and effective way
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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