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imaging, single cell tracking and quantification, large volume 3D bone marrrow imaging with single molecule sensitivity, and ai-supported computational analysis. Job description We are seeking a highly
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rooms and large-scale facilities at the Paul Scherrer Institute, and fostering synergies with the Department of Materials (ETH Zurich). We would like to hire a Postdoctoral Researcher in the field
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team members Perform accelerated optical degradation tests of transparent conductive materials Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a
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ability to conduct archival research on English materials ranging from 1300-1950; Experience working with large quantities of data and/or with databases; Excellent organisational skills; The ability to work
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progress Profile Required PhD in Computer Science with the focus on AI Proficiency in python programming Strong expertise in machine learning and deep learning frameworks (especially PyTorch) Demonstrated
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2025. Profile A PhD (or equivalent doctorate) in Business Administration, Management, or a related field (e.g., Psychology, Sociology, Engineering, or Economics). A strong publication record (or
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for additional information, please include your PhD, MSc, and BSc degree details (university, dates, and relevant experience). When applying, please submit the following documents as a single merged PDF named with
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types. Profile A PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations, including writing computer code, is essential. Familiarity with
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11 Mar 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Inorganic chemistry Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering
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Applicants should have recently earned a PhD in Economics and should show interest in the topics of the group. The preferred candidate has demonstrated her or his potential to conduct high-quality research