312 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Switzerland
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- OTCF (Osteosynthesis & Trauma Care Foundation) Research Grants 2026
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Master’s programs in Forest and Landscape Management, particularly Forest Economics You will help students understand how ecological, economic, spatial, and societal questions come together when decisions
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- or nanoplastics, online or offline ice nucleation experiments. A good knowledge of programming languages such as Python, R, MATLAB or IGOR is expected. Excellent English skills, both in verbal and written
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grasp of machine learning, computer vision techniques, statistics, and signal processing High proficiency in programming environments (e.g., R, Python) and spatial analysis tools (GIS) Good knowledge
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initiatives both nationally and internationally. This includes contributions to the Swiss AI Initiative and similar programs, such as lending support for the development and release of foundation models in
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, or scientific programming (Python, MATLAB). Workplace Workplace We offer A fully funded PhD position at ETH Zürich, one of the world’s leading universities Access to state-of-the-art ultrafast laser systems and
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(particularly finance and human resources) Expertise and experience in event management and reporting Solid computer skills (office, internet, budget accounting); ability to use programs and applications to solve
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, especially with an interest in AI and judicial processes Computer Science or Data Science, especially with practical programming experience Currently enrolled as a student at a Swiss university We are also
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for Queloz’s research group, you coordinate internal and external stakeholders as well as visitor programs. You handle administrative tasks such as mail processing, document management, and process support
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the student level. Candidates The program targets excellent female Master students pursuing a MSc degree at their home institution who would like to perform their Master's thesis research projects in one
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, testing, APIs, data pipelines, containerisation, reproducible workflows (e.g. Docker, CI/CD, Nix), and programming in languages such as Python, Go, Rust, or similar. Exposure to data modelling or semantic