23 experiment-"https:" "https:" "https:" "https:" "https:" PhD positions in Switzerland
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solid background in mechanics of materials and simulations. Experience with material characterization using electron microscopy, nanoindentation, or other methods, and light-based 3D printing is an
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skills (evidenced by high grades) are required Prior research experience in problems related to fluid mechanics, structural vibrations, model reduction or control is expected Experience in nonlinear
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PhD Position in Ancient History: The People Behind the Villa: Life, Labour, and Death in Roman Italy
. The doctoral project centers on the reconstruction of the lived experiences of rural populations associated with Roman villa landscapes. Particular emphasis will be placed on questions of daily life, health and
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the chemistry of superheavy elements – the newest and heaviest members of the periodic table. Through innovative single-atom experiments, state-of-the-art instrumentation, and international collaborations
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, but to drive innovative research and achieve decisive progress. Further details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The successful candidate will
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interested in learning new methodological and statistical approaches. Experience with longitudinal, developmental, or school-based research is an asset. You are proficient in data analysis using R. You have
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partners, combining theoretical modeling, device design, and ultrafast THz experiments. Project background This project will combine advanced numerical modeling with experimental demonstrations
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, the Laboratory for Neutron Scattering and Imaging LNS, and the Water Electrodynamics Group at TU-Hamburg. The PhD student will conduct experiments on tracer diffusion and electromigration in clays conducted
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focused on how ice formation influences carbon cycling in cold environments. The project combines controlled freezing experiments, aqueous geochemistry, gas monitoring, and mineral characterization
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question The following would be a plus: Practical experience building with LLM APIs, open models, evaluation pipelines, orchestration frameworks, and related tooling. Familiarity with model adaptation, fine