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development X-ray based methods focusing on the evaluation of the structure – property relationship in applications such as biomedicine and space. In the frame of an ESA project interfacing research and
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motivated Postdoctoral Researcher to join an applied research project focused on the development of AI/ML-based methods for the automation of laser processing techniques. In close collaboration with our
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement
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, analytical modelling, and numerical simulations to develop and validate novel reinforcement systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing
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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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benefit from close collaboration with leading experts in chemical synthesis, advanced characterization, and atomistic simulations. Located in the Zurich Area, Empa offers outstanding infrastructure, a broad
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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) based DCS and develop a spectrometer with unprecedented spectral resolution, sensitivity, and speed. Together with our partners, we will apply this instrument to study the ro-vibrational nature of chiral