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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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robotics applications (SAM3/ESR12 – soft robotics) This project takes place within the Marie Curie Doctoral Network on Soft Active Matter Microrobots for Medicine (SAM3). This doctoral network of 12 PhD
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within the Marie Skłodowska-Curie Doctoral Network Implant-to-Market (i2M), providing an international and interdisciplinary training environment connecting materials science, biology, medical devices
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research initiatives focusing on the synthesis of sustainable fuels and chemicals providing many opportunities to interact with a large and high-profile network that includes members of both academia and
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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