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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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The Khammash Lab at ETH Zurich is seeking a motivated and skilled postdoctoral researcher to join our interdisciplinary team working at the interface of synthetic biology, control engineering, and
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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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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-reviewed journals, and participating in international conferences. Your profile You are a highly motivated and dedicated candidate with a PhD in Engineering, Energy Systems, or a related field. You bring
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international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior
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society, computational social science, and psychology. We invite applications for a full-time postdoctoral researcher to join the interdisciplinary SNSF-funded research project "Digital Originals in 3D
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, Switzerland) is offering a 3-year postdoctoral position. Main duties and responsibilities This position is part of the Swiss National Science Foundation "Shuffle algebra techniques in representation theory
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focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions. The Department of Medical Parasitology and Infection Biology (MPI
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molecules in the gas phase. This interdisciplinary project is funded by Swiss National Science Foundation and the Swiss Agency for Innovation Promotion. It lies at the interface of fundamental research and