236 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs in Switzerland
Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zurich
- Nature Careers
- University of Basel
- ETH Zürich
- Empa
- HES-SO Genève
- CERN
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Graduate Institute of International and Development Studies, Geneva;
- Paul Scherrer Institut Villigen
- School of Architecture, Civil and Environmental Engineering ENAC, EPFL
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Zurich, Institute of Education
- 3 more »
- « less
-
Field
-
Systems.”Funded through an ETH Zurich Career Seed Award, this project aims to develop scientific machine learning frameworks that integrate physics-based modeling with neural network architectures. The goal
-
. • Familiarity with machine learning, dimensionality reduction, clustering, and statistical modeling. • Strong communication skills, interest in interdisciplinary work, and ability to train students and postdocs.
-
of cutting-edge tools, models, and strategies to understand and engineer immune systems for translational medicine. Candidates may use integrative approaches that combine immunogenomics, machine learning
-
1855, ETH Zurich today has more than 18,500 students from over 110 countries, including 4,000 doctoral students. About 500 professors currently teach and conduct research in engineering, architecture
-
Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
-
dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
-
knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Control and Automation at inspire AG offers the following position in collaboration with Bota
-
-read sequencing data analysis is highly desirable. Familiarity with signal processing or applied machine learning is advantageous. You should demonstrate strong motivation to develop innovative
-
experience working in collaboration with biological or clinical labs and with groups with a strong machine learning background. The starting date is by mutual agreement. We expect a pronounced interest in
-
of machine learning, AI, and cancer genomics. Our lab develops novel machine learning methods to understand biological systems and cancer, with a strong focus on genomics and translational impact. We work in