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science, physics, computational science or similar, with experience in modeling and simulation Strong understanding of the (computational) mechanics of solids and the finite element method and/or spectral
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performance in fuel cell (biogas) and co-electrolysis applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under
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16 Sep 2025 Job Information Organisation/Company Max Planck Institute for the Physics of Complex Systems Research Field Physics » Quantum mechanics Physics » Solid state physics Physics » Optics
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applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under various operating conditions and develop strategies
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the selection process is needed: University degree (Master of Science or comparable) in physics, chemistry or materials science with profound knowledge in solid-state physics, quantum mechanics or quantum
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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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, your work will contribute to establishing a fundamental understanding of the mechanical properties and microstructure of newly developed advanced ceramic materials for solid oxide electrolyzer cells
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Mechanical Engineering, Sustainable Engineering, Electrical Engineering, and Engineering and Business Administration. Based on a solid understanding of fundamentals, the teaching is characterized by a strong
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Science, Mechanical Engineering, Materials Physics, or a closely related field A strong academic track record and a solid understanding of the mechanical behavior of materials and materials science Hands