342 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Nature Careers
- Empa
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Paul Scherrer Institut Villigen
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- HES-SO Genève
- University of Zurich
- CERN
- EPFL
- EPFL - Ecole polytechnique fédérale de Lausanne
- Ecole Polytechnique Federale de Lausanne
- GRADUATE INSTITUTE
- Graduate Institute of International and Development Studies, Geneva;
- Idiap Research Institute
- Physikalisch-Meteorologisches Observatorium Davos (PMOD)
- Swiss Federal Institute of Technology Lausanne, EPFL
- University of Berne, Institute of Cell Biology
- University of Geneva
- Università della Svizzera italiana (USI)
- Université de Genève
- 13 more »
- « less
-
Field
-
to staff position within a Research Infrastructure? No Offer Description PhD Position in Physics-Informed Machine Learning for Cardiac Magnetic Resonance The CMR Zurich group at the Institute
-
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
-
at the interface of machine learning, statistics, and live-cell biology. The position is co-supervised by Prof. Olivier Pertz (Cell Biology) and Prof. David Ginsbourger (Statistics), and the student will be equally
-
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
-
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
-
Scientist / Scientific assistant – Tree species detection using deep-learning Are you an ambitious data scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and
-
dynamics simulations is highly desirable. Basic knowledge of machine learning is considered an advantage but is not mandatory. LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number
-
to supply a letter upon request. Application deadline: 30 November 2025. Applications should be uploaded to the EPFL recruitment page: https://facultyrecruiting.epfl.ch/position/60817413 Inquiries can
-
with competitive salary according to ETH standards Interdisciplinary and international research environment You can expect numerous benefits , such as public transport season tickets and car sharing, a
-
Opportunities to learn cutting edge techniques Perspectives for career development A diverse and interdisciplinary team Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line