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Alps documentation of the technical and scientific aspects regarding the geological model(s) in peer-reviewed papers and technical reports Profile MSc or PhD in Earth Sciences or closely related field
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-cultural. EPFL covers a wide spectrum of science and engineering and offers a fertile sSchool of Basic Sciences include theoretical and experimental biophysics, biological imaging and physics of machine
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We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
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Early Development) and Genentech). Leverage state-of-the-art platforms, technologies, and Roche’s core facilities to advance your research. Mentor and guide graduate students through our joint PhD
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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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founded by Innosuisse and the project is in close collaboration with an industrial partner. Profile Applicants for the position are expected to have earned a PhD in heterogeneous catalysis with documented
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100%, Basel, fixed-term The Bio Engineering Laboratory at the Departement of Biosystems of ETH Zurich in Basel is inviting applications for a PhD position in in Engineering of Microfluidic in-vitro
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in