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their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in
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, quantum engineering, electrical engineering, photonics or related fields. Alternatively, a Master’s degree and 3+ years hands-on experience is also accepted. The candidate must thrive in
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG, in collaboration with the Chair of Artificial
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students conduct in the department. Profile The ideal candidate will possess: A PhD in electrical engineering, biomedical engineering, computer science, or a related discipline, Experience in the analysis
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group “Design for New Technologies” at inspire offers in collaboration with the Product Development Group
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within and between-host level (1 ,2
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100%, Zurich, fixed-term The Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in modeling fracture in soft
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and Postdoc Positions in Advanced Bioelectronic & Electrical Conversion Research 100%, Basel, fixed-term 14.08.2025 | Department of Biosystems Science and Engineering PhD