122 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"O.P"-"Study-Group"-"https:" positions in Switzerland
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Sciences with strong IT/programming skills, or in Computer Science/Physics with interest in geoscience and sensors, to support sensor-noise analysis, calibration workflows, and seismic-coverage modelling
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executing computational projects. Prior experience with DFT-based electronic structure calculations or other computational quantum-mechanical many-body techniques. Programming skills in either Python, Fortran
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in PBF of plastics (whole chain). Develop and test new materials, additives, and processing strategies including printing & testing of parts. Plan and execute laboratory experiments (incl. DoE) with
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and waste-free chemical industry for a sustainable society. Jointly led by ETH Zurich and EPFL since 2020, the research program is funded by the Swiss National Science Foundation (SNSF) and currently
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background ETH Zurich is seeking a dynamic and highly organized professional to co-lead the ETHInvestor Connect Program. This position provides a unique opportunity to work at the intersection of deeptech
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, Deep Optics Excellent problem-solving abilities and a passion for research Strong programming skills and proficiency with differentiable simulation frameworks are a plus Excellent verbal, written, and
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modeling and teaching duties. Position details: Start date: February 1st, 2026, or by agreement Fully funded PhD position (approximately 4 years). Final admission to the doctoral programme follows a
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. The scholarship programme is currently open to applicants from 183 countries. What are Swiss Government Excellence Scholarships? Research scholarships These scholarships are available to postgraduate researchers in
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal
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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze