339 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" 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)
- School of Architecture, Civil and Environmental Engineering ENAC, EPFL
- University of Geneva
- Università della Svizzera italiana (USI)
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who share our guiding principles: Curiosity: You enjoy learning, exploring new ideas, and understanding problems deeply. Openness: You listen, collaborate, and are receptive to different perspectives
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. Attractive employment conditions: Numerous benefits, e.g. public transport subscriptions and car sharing Childcare options Attractive pension benefits chevron_right Working, teaching and research at ETH Zurich
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contributes 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
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Laser Material Processing at inspire offers in collaboration with the Advanced Manufacturing
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our neural implant technology market-ready for commercialization The full lifecycle where you don't just design and build devices, but you also get to see them in action with in vivo brain-machine
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discovery, and machine learning. In the wake of quantum mechanics' initial breakthroughs, we're on the brink of a second quantum revolution. Quantum physicists are adopting machine learning to explore complex
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methods. Contributing to the development, adaptation, and application of machine‑learning models tailored to RODI data (in collaboration with project partners). Designing and implementing an innovative
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-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI approaches to biological questions Collaborating closely with
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incorporating machine learning. 2. Transcriptome Recording and Cellular History Reconstruction We are advancing our CRISPR-based transcriptional recording method (Schmidt, Nature, 2018; Tanna, Nature Protocols
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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