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, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has demonstrated research experience with
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adsorbents/gas adsorption/separation. Project Focus The project builds on Empa’s expertise in the field of sorbents and carbon capture. The position is part of the National Center of Competence in Research
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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architecture and catalyst/electrode modification strategies for enhanced durability, using different fabrication methods. This postdoc position is part of an international collaborative project involving
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understanding materials structure in material, life- and medical sciences. The PostDoc research will be part of a multi-center research project on applying and combining multi-modal 2D and 3D imaging
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interdisciplinary research and collaborative projects Motivated, proactive, and enthusiastic mindset Our offer We offer a fully funded 2 year post-doc position at Empa to conduct cutting-edge research in an
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the laboratory while contributing actively to an international collaborative research environment through effective communication and teamwork. Our offer You will join the Laboratory for High
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vibration isolation, frequency conversion, and non-reciprocal wave propagation. The successful candidate will work within a collaborative Swiss-French project involving Empa, ETH Zurich, and LAUM. Your