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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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Sensing Laboratory focuses on the development of advanced sensor platforms that combine chemistry, physics, and engineering to address societal challenges in health and environmental monitoring
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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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the foundation for alternative design routes for epitaxial oxide multilayers with naturally forming, polarizing electrostatic boundary conditions, pushing forward the engineering of technology-relevant
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Your position Your focus will be archaeozoological and isotope analysis of Neolithic lakeshore settlements in Switzerland. This PhD position forms part of an SNSF Weave/Lead Agency Project entitled
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the LabKey service owner, sciCORE infrastructure specialists, and university researchers, combining data engineering and semantic data expertise to meet the evolving needs of data-intensive research across
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic
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research, consulting and teaching activities. Concentrated at the European Center of Pharmaceutical Medicine (ECPM) and Health Economics Facility (HEF), these are fully integrated into the Basel Center
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We are seeking a highly motivated and talented PhD student to join our team at the Institute of Environmental Engineering at EPFL (the Swiss Federal Institute of Technology Lausanne). The selected