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this process who will provide you with guidance for the implementation, but independent work, in general, is required and appreciated. The workload consists of up to 15 hours per week during the semester. We
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be based either within the Department of Mechanical and Process Engineering or the Department of Mathematics at ETH Zurich, dependinhg on the candidate's background and preferences. Profile A masters
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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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grades) two potential references, and letters of reference or recommendation (only if available, e.g. from internships, no need to request new ones at this stage of the application process) Please note
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to benefit from latest advances in hardware technologies the ICON model was ported to run on Graphics Processing Units (GPUs) and is one of the first model that can be used in production
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. Knowledge of water treatment processes is desired, but not necessary. Good knowledge of English (spoken and written) is essential. Applicants should hold a MSc degree (or equivalent) in environmental
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100%, Zurich, fixed-term Do you have expertise in applied electronics and signal processing? Are you interested in applied research on transformative electronic textiles (e-textiles)? Your research
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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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research group studies the crucial role of clouds and aerosols in the climate system, aiming to better understand cloud microphysical processes. Project background The primary goal of this student position
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to better understand how cloud microphysical processes drive both precipitation formation and the radiative impact of clouds. This role directly supports these efforts by enhancing our data processing