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semiconductors such as GaN and SiC and to enable reliable operation at voltages >6 kV, where suitable alternative is currently unavailable. Such devices are expected to find applications in high-efficiency power
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18 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie Research Field Engineering Computer science Mathematics
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subsystem will be integrated into an experimental solar thermophotovoltaic platform at PROMES. The candidate will explore the operation of the system under realistic high-temperature conditions using
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under relevant process conditions. Rational mutagenesis and computational protein design will then be applied to enhance lithium specificity and operational robustness in complex, high-impurity leachates
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‑temperature operation. These features make HPCRs attractive for demanding applications including space power and exploration missions, remote/off‑grid energy supply, industrial heat, and resilient electricity grids. In
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into include: Upscaling of multiphysics transport phenomena Film formation and efflorescence Multiphase Computational Fluid Dynamics High-performance computing Where to apply Website https
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machine learning libraries. Familiarity with collaborative coding environments (e.g., Git) and working on high-performance computing (HPC) clusters is an advantage. Good scientific writing and communication
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Germany Type of Contract To be defined Job Status Other Offer Starting Date 27 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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to be at the forefront of supporting female performance, the project will explore how female high-performance environments across Aquatics GB (e.g., Olympic swimming, Paralympic swimming, diving, and
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management Background: materials science, mechanical engineering, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc6/ DC7: High-Performance Magnesium-Based