344 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Switzerland
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- ETH Zurich
- University of Basel
- ETH Zürich
- Empa
- Nature Careers
- Paul Scherrer Institut Villigen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- HES-SO Genève
- University of Zurich
- CERN
- EPFL
- Ecole Polytechnique Federale de Lausanne
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies, Geneva;
- Idiap Research Institute
- Inselspital Bern
- Physikalisch-Meteorologisches Observatorium Davos (PMOD)
- University of Berne, Institute of Cell Biology
- University of Geneva
- Università della Svizzera italiana (USI)
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, students gain valuable hands-on experience and learn essential skills for their future. That’s why we’ve created an ecosystem where students - Bachelor’s, Master’s, and Doctoral - are encouraged to ideate
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the possibility of extension. Job description You will be in charge of your own research You will take part in the professorship’s academic and social activities You will teach one course of your choice per
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postdoctoral researcher in Robot Learning who is interested in questions such as: How can we fuse representations of the world with modern learning-based methods to allow for larger scale / longer horizon? How
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the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides
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scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning applications, demonstrated through contributions to open source projects and production
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, qualitative methods that combine situated ethnographic detail with deep knowledge of cultural and political contexts and histories, ideally in a cross-national comparative perspective. You can learn more about
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, the Center fosters collaboration among academia, industry, and policy to create impactful solutions from local to global scales. It furthermore offers a range of educational activities and learning journeys
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, computer literacy and motivation to further develop technical skills (e.g., programming), and a strong work ethic.
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tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training
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research, you will teach students at the Medical Faculty, while also supervising postdoctoral researchers and PhD students. Additionally, the position includes the leadership and organization