420 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Empa
- Nature Careers
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Academic Europe
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Paul Scherrer Institut Villigen
- University of Zurich
- EPFL
- EPFL FSB
- Swiss Federal Institute of Technology Lausanne, EPFL
- University of Bern
- University of Lausanne;
- Universität Bern
- ZHAW - Zurich University of Applied Sciences
- EPFL - Ecole polytechnique fédérale de Lausanne
- ETH ZURICH
- Ecole Polytechnique Federale de Lausanne
- GRADUATE INSTITUTE
- Graduate Institute of International and Development Studies, Geneva;
- Institute for Research in Biomedicine (Bellinzona)
- Physikalisch-Meteorologisches Observatorium Davos (PMOD)
- UNIVERSITY OF ST GALLEN
- University of Applied Sciences Northwestern Switzerland
- University of Berne, Institute of Cell Biology
- University of Geneva
- Université de Genève
- 19 more »
- « less
-
Field
-
Your profile We seek candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation
-
systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where
-
combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures
-
computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
-
interdisciplinary research community at the EPFL School of Life Sciences fosters interactions with allied disciplines on campus, including engineering, physics, chemistry and computer sciences. EPFL offers an English
-
between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
-
successful candidate will be expected to teach undergraduate and graduate courses within the study programs of Agricultural and Environmental Sciences. Assistant professorships have been established to promote
-
transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal needs
-
essential, while experience with machine learning is advantageous but not strictly required. Excellent English skills, both in verbal and written communication, are required for the project. We are looking
-
stable water isotope data, and Statistical analyses, including machine learning approaches. The full-time position is funded for four years. Salary and social benefits are provided according to ETH Zurich