Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zürich
- ETH Zurich
- University of Basel
- EPFL
- IMD Business School
- Swiss Federal Institute of Technology Lausanne, EPFL
- UniDistance Suisse
- University of Zurich
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- ETH ZURICH
- Empa
- Friedrich Miescher Institute for Biomedical Research
- Paul Scherrer Institut Villigen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Bern
- University of Zurich (UZH)
- Universität Basel
- 7 more »
- « less
-
Field
-
, mechatronics, robotics, Computer science, or a related field Experience in machine learning, computer vision, signal processing, or condition monitoring Strong programming skills in Python and experience working
-
Finance at EPFL seeks postdocs to reinforce our research in quantitative finance with a focus on applied machine learning. Main duties and responsibilities Working and collaborating on research projects
-
academia or industry. Depending on the level of appointment, they are expected to teach Master’s-level courses related to energy conversion and storage, as well as the underlying fundamentals in mechanical
-
and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure
-
, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out
-
of the heaviest elements Present your research at international conferences and publish your results in leading peer-reviewed scientific journals Where to apply Website https://apply.refline.ch/673278
-
of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars
-
, engineering, and the broader questions of how AI systems affect the people and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related
-
, but to drive innovative research and achieve decisive progress. Further details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The successful candidate will
-
background For the KOF Research Division Macroeconomic Forecasting and Data Science , we are seeking a student assistant to support a research project on macroeconomic reanalysis data and machine-learning