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models that significantly accelerate forging process simulations, optimize manufacturing parameters, and reduce dependency on computationally expensive simulations. This position offers the opportunity
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sensing, and field sampling, and use these data to answer questions with statistical and process-based models. Project background We are inviting applicants for a postdoctoral position, starting as soon as
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100%, Zurich, fixed-term The Electrochemical Energy Systems Laboratory in the Department of Mechanical and Process Engineering at ETH Zurich invites applications for a Postdoctoral Researcher
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, with the shared vision of translating research to practical solutions for more sustainable and liveable cities, resilient physical and social urban systems, and patient-centric healthcare systems. As a
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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. 25 days of annual leave for fixed-term contracts. 1 day of Birthday Leave. Annual dental benefits. Committed to being a supportive employer as you prioritize your physical and mental wellness
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qualifications with a PhD in physics, electrical engineering, materials science or a related subject, and a background in magnetic thin films, nanostructures and spintronics. You should be motivated, proactive and
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making new insights into landslide processes. You will develop advanced algorithms to process this data, with a focus on optical flow and object detection. You will interpret the results to better
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100%, Zurich, fixed-term The Frazzoli group at the Institute for Dynamic Systems and Control, Department of Mechanical and Process Engineering (D-MAVT) is looking for a postdoctoral researcher to
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Analyzing experimental data and optimizing protocols This position is full-time, with flexible starting dates in 2025. Profile A PhD degree in physics or relevant fields Prior experience in experimental