57 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs in Switzerland
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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Hospital, Copenhagen). The successful candidate will be responsible for designing and implementing the predictive modeling strategy of the project. This includes: Developing machine-learning prediction
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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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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Vision, or a related field. Proven experience in photogrammetry, image-based 3D reconstruction, and cultural heritage digitization. Solid programming skills (e.g., Python, C++) and familiarity with
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scientific expertise, with publications in peer-reviewed journals or platforms Very good command of English (written and oral) Basic knowledge of French, or willingness to learn some basic French Willingness
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beamline Publish results in scientific journals and present findings at international conferences Where to apply Website https://apply.refline.ch/673278/3854/EL6dzSlLCLf7qHjFYjOSmL8NTV0nuikWIOXeIbXpRu
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better learning and reasoning over data. We are looking for a Postdoctoral Researcher for an initial project of 24 months (extendable depending on funds). In partnership with a leading company in the field
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apply at https://careers.epfl.ch/job/Lausanne-Postdoctoral-Position-in-Stochastic-Analysis/1163749755/ . Contact: Bernadette Brun, + 41 21 693 9051 Email: Postal Mail: EPFL SB MATH STOAN MA C2 647
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equality 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