62 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" PhD scholarships in Switzerland
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expertise in bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be eager to collaborate
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information please see https://duw.unibas.ch/de/umweltgeowissenschaften/ or contact: Professor Christine Alewell, christine.alewell@unibas.ch . For information about application requirements and mandatory
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(oliver.heiri@unibas.ch ), for more information on the Geoecology group please visit https://duw.unibas.ch/en/research-groups/geoecology . We aim to start the project by 1 July 2026. Where to apply Website https
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applications for two PhD positions in the field of organic geochemistry and paleolimnology (https://duw.unibas.ch/en/research-groups/organic-geochemistry/ ). The students will be part of the SNSF-project ECO
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to positive change in society We are actively committed to a sustainable and climate-neutral university You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical foundation. Candidates are also expected to have strong coding and implementation skills, with the...
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institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and postdocs. Learn more
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training, exchanges, and career development for PhD students and postdocs. Learn more at https://www.muoniverse.ch/ . Muoniverse positions often serve as bridges between individual research groups and
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theoretical simulations. Develop automated flow and microfluidic setups for real-time reaction optimisation and continuous production. Where to apply Website https://apply.refline.ch/673278/3884
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qualitative and quantitative analytical methods to model clinician attention, verbal reasoning, and documentation behaviour Develop and evaluate machine learning models, including unimodal, fusion, and