168 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at ETH Zurich in Switzerland
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hyperspectral data. Present research results to academic audiences, collaborators, and stakeholders. Profile PhD in Geomatics or a related field (e.g., Environmental Sciences, Civil Engineering), with
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. We look forward to receiving your application and welcoming a new researcher to our team at ETH Zurich! ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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100%, Zurich, fixed-term Applications are invited for a PhD position on Water Disinfection Chemistry in the Environmental Chemistry group at ETH Zurich. The project focuses on the recent discovery
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recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education
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background Are you ready to dive into Materials Science? We are looking for a PhD candidate at the Laboratory of Metal Physics and Technology (LMPT) to investigate the atomic-scale processes underlying phase
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: program surveys in Qualtrics; create documentation such as questionnaires, codebooks and technical reports; support the teams with data analysis and reporting to third party stakeholders such as SBB or AMAG
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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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implementing new features, maintaining the code, creating tutorials, and documentation. Profile You are a developer with a BSc or MSc in Computer Science or related fields. You have proven expertise in software
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meetings. Contribute to the supervision of graduate students and support lab management. Profile PhD in Materials Science, Food Science, Physics, Chemical Engineering, or a related field. Strong background
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster