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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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engineering, with a particular focus on AI, data science and decision-making The candidate's research will focus on code quality assurance, code analysis and more generally on the engineering of TrustWorthy
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The Khammash Lab at ETH Zurich is seeking a motivated and skilled postdoctoral researcher to join our interdisciplinary team working at the interface of synthetic biology, control engineering, and
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart
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. Close collaboration with our neighboring Departments (Mechanical Engineering, Electrical & Computer Engineering, Molecular Biology & Genetics, iNano, Biosciences, Food, Agroecology, and Chemistry) is a
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and handling NK cells and/or macrophages will also be appreciated. Knowledge about synthetic biology, CAR/protein engineering and mRNA-transduction is important, but not necessary. Experience with
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researcher should have expertise in materials/mechanical/electrical engineering with an excellent understanding of fluid mechanics as well as experience with Arduino/Raspberry Pi programming, 3D printing and
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batteries. We will have a focus on in situ studies of the materials during charge/discharge, for instance followed using Raman spectroscopy and X-ray scattering. The position is part of an industrial
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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding algorithms, or demonstrated ability and