109 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at ETH Zurich in Switzerland
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): materials discovery, advanced structural characterization, electronic materials, and quantum materials, 2D-materials and their applications in electronic and optoelectronics. The research programme at
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environment. The Postdoctoral Fellowship Program, made possible via our Strategic Partnership with Halter Group AG , will fund two, two-year postdoc positions in this next round. The goal is to advance
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successful completion of studies, the PhD degree will be awarded by ETH Zurich. Candidates should have experience in computational modelling, numerical simulation, or data-driven modelling. Strong programming
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-particle analysis Semiconductor nanocrystals, quantum dots, or other nanoscale materials Machine learning Scientific programming and quantitative data analysis Prior experience with every technique used in
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for Radiopharmaceutical Sciences (https://www.crs.ethz.ch) Hilfsassistenz der Gastprofessur für italienische Literatur und Kultur (m/w/d) 10%, Zürich, befristet 29.07.2026 | Departement für
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We are looking for a research assistant (with a workload of 20%) to join our ongoing research program on online discourse and how to improve it The primary responsibility lies with our data pipeline
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research tackling questions on the perception of time and space in virtual immersive environments Solid quantitative skills (R, Python, or Stata) Programming ability relevant to your target position: hands
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systems, including command-line interfaces Practical knowledge of at least one programming language (C++, C#, Java, Python) and tools such as Git Responsible and informed use of AI-assisted tools in a
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are the MaP Doctoral School and ETH Sabbatical | CAS AMaP continuing education programme. To lead the executive office as the central coordination hub, MaP is currently hiring a new Executive Director
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researchers across ETH accelerate their research with frontier AI. You will partner with research labs to understand their scientific challenges and co-develop agentic solutions: multi-step pipelines that plan