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with various beamlines at SLS and SINQ. For this group, we are looking for a PhD Student in X-ray scattering and imaging on mineralized tissues Your tasks Develop Python-based analysis tools to extract
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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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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
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students to join a newly funded LOOP Zurich Flagship Project focused on advancing a breakthrough technology to clinic for non-invasive targeted drug delivery to the brain. Our laboratory recently developed a
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, good leadership qualities, and a strong foundation of practical relevant laboratory experience. Bioinformatics skills are beneficial but can be expanded during the PhD. Students who excel in the chemical
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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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, 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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join as one of the group’s first doctoral students and will have the opportunity to help shape its research culture and scientific direction. Profile A Master's degree, or expected completion before
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, and its Snow Processes group works on wide ranging questions on snow, snow transport and snowfall precipitation. We are looking for a PhD student for Snow Water Equivalent innovative sensor development
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why complex materials fail and a commitment to developing new concepts, experiments, and models that advance our understanding of failure mechanics. We are seeking a motivated, innovative PhD student