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Postdoc – Synthesis and up-scaling of high-performance active materials for Na solid-state batteries
), secondary ion mass spectroscopy (SIMS), optical emission spectroscopy (OES), electrochemical impedance spectroscopy (EIS)) The candidate can thus gain industry-relevant knowledge about the complete
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results in reputable scientific journals to share knowledge and contribute to the advancement of the field Your Profile: Master`s degree and PhD in the field of economics, social sciences, data science or a
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Computer Science, Mathematics, Physics Engineering or in a similar field. Alternatively an excellent masters degree with professional experience Very good knowledge and proven skills with larger deep learning
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science and engineering or a related subject Strong capabilities in software engineering and programming are essential. You should have very good knowledge of and practical experience with machine learning
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excellent final grades Excellent knowledge in the field of quantum mechanics, quantum chemistry and/or modeling and simulation Experience in the field of Solid State (or Condensed Matter) Physics and
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plant eco-physiology and/or plant photosynthesis and a good knowledge of methods to measure plant photosynthesis in the greenhouse and field Knowledge in using and interpreting chlorophyll fluorescence
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France. Your Profile: Successfully completed scientific master’s degree and PhD in the field of Physics, Chemistry, Materials Science or a comparable field with excellent final grades Excellent knowledge
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publication record Excellent knowledge and experience in programming (Python, C, C++) Excellent knowledge of state-of-the-art parallel programming paradigms (e.g. MPI, OpenCL, SYCL) Very good communication
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subject Very good knowledge of numerical linear algebra algorithms Extensive experience with parallel programming and high-performance computing, in particular with MPI, OpenMP and GPU programming models