359 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Switzerland
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- ETH Zurich
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essential, while experience with machine learning is advantageous but not strictly required. Excellent English skills, both in verbal and written communication, are required for the project. We are looking
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to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits
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field of European Archaeology (Ur- und Frühgeschichte) across teaching and research: The successful candidate will teach European Archaeology at both undergraduate and postgraduate level (BA, MA, PhD) and
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may be contacted directly by the committee). Letters of recommendation are not required at this stage. Applications must be submitted exclusively online at https://jobs.unige.ch by 1st March 2026
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website
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immediately and will remain open until filled by suitable candidate. Where to apply Website https://academicpositions.com/ad/university-of-basel/2026/postdoctoral-fellow-c… Requirements Research FieldBiological
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Website https://academicpositions.com/ad/university-of-basel/2026/phd-positionpre-doc-i… Requirements Research FieldEconomicsYears of Research Experience1 - 4 Research FieldPolitical sciencesYears
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) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project applicants are expected to have excellent language skills in English Opportunity
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biosensor imaging, and behavioral pose estimation. The specialist will integrate multimodal datasets and apply advanced statistical and machine-learning methods to uncover relationships between gene