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- The opportunity to pursuit your PhD in cooperation with the Faculty of Engineering at Friedrich-Alexander-University Erlangen-Nürnberg, one of the most innovative universities world-wide A highly supportive and
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nanoindentation, for generating their own data sets Your Profile: A completed university degree (Master or equivalent) with excellent grades in the field of data science, material science, mechanical engineering
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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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Profile: Excellent master’s degree in Process Engineering, Chemical Engineering, Mechanical Engineering or a similar discipline Strong interest in pursuing research on electrochemical systems Experience in
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stack Development of Python code to operate quantum systems Detailed experimental characterization of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform
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of Economics and Management Faculty of Mathematics and Natural Sciences Faculty of Organic Agricultural Sciences Faculty of Civil and Environmental Engineering Faculty of Mechanical Engineering Faculty
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Degree PhD (Dr-Ing or Dr rer nat) Doctoral degree or degree awarded by Ruhr University Bochum or University Duisburg-Essen Course location Düsseldorf In cooperation with Max-Planck-Institut für
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harsh process conditions Investigation of the underlying deactivation mechanisms Development of regeneration strategies for deactivated catalysts Coordination with internal and external project partners
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. Collaborate closely with an experimental enzymology PhD student to validate your models in the lab. This is an excellent opportunity to contribute to the future of enzyme engineering, bioinformatics, and
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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research