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the international team of the Ultrafast Spectroscopy and Attosecond Science group. Gain access to a wide range of experimental and analytical facilities, including high-performance computing resources, and
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innovation with biological applications in animal nutrition. Profile A PhD in data science, computer science, applied mathematics, bioinformatics, statistics, animal science, or a related field is preferred
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support productivity workflows, guided by emerging large language models. Candidates ideally have a background in Computer Science and prior experience with human-computer interaction (e.g., through courses
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of the following areas (please address these in the cover letter): Machine Learning, Computational Simulations (e.g., CFD, FEA, etc.), domain expertise in Engineering problems, familiarity with High
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characteristics that align well with the position: You are expected to have a Ph.D. degree in Engineering, Computer Science, Applied Mathematics, or related fields with an excellent track record in competitive
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largest research centre for the natural and engineering sciences in Switzerland. The current research focus is the investigation of novel magnetic systems at the mesoscopic scale making use of the clean
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. Profile Education: Master’s or PhD in Computer Science, Data Science, Software Engineering, or a related field. Experience: Proven track record in data engineering, software development, and integration
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100%, Zurich, fixed-term The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. Project background The position is
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researchers. Process and analyse mobility datasets (Python) and/or build interactive web views (JavaScript + modern tooling such as Vite). Document methods and contribute to open-science practices (reproducible
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100%, Zurich, fixed-term The Hospenthal Group at the Institute of Molecular Biology & Biophysics (IMBB) at ETH Zurich, Switzerland, investigates the molecular mechanisms that govern natural