384 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Nature Careers
- Empa
- Paul Scherrer Institut Villigen
- University of Zurich
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- EPFL
- ETH
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Ecole Polytechnique Federale de Lausanne
- HES-SO Genève
- CERN
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies, Geneva;
- Idiap Research Institute
- Inselspital Bern
- Physikalisch-Meteorologisches Observatorium Davos (PMOD)
- University of Berne, Institute of Cell Biology
- University of Geneva
- Università della Svizzera italiana (USI)
- 12 more »
- « less
-
Field
-
change, climate change attitudes, and risk under environmental heat stress by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a
-
generations to come. Join Roche, where every voice matters. The Position This role is in Early Development Biometrics (EDB), a core function within Product Development Data Sciences (PDD) that provides
-
for the physically informed processing and joint analysis of time-series data. The successful candidate will conduct observational programmes with the SPECULOOS facility and actively participate in the scientific
-
motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
-
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
-
for projects that show unconventional thinking and introduce a unique approach. The focus is on promising ideas of high originality for which preliminary data are not necessarily available (high-risk research
-
for such purposes in a wide spectrum of industries, with significant breakthroughs in computer vision, natural language processing, and intelligent control. This PhD project aims to develop foundation models (FMs
-
of mathematics, computer science, and evolutionary biology. We develop methods to understand evolutionary, ecological, epidemiological, and developmental processes on different scales based on genetic data. In our
-
for further information) Scan of your validated UZH Card Letter of invitation or research plan Depending on the type of activity applied for, we require either a letter of invitation or a research plan. Letters
-
lab / external, we are seeking a post-doctoral researcher to join our team. In the project, we will be analyzing ride-sharing, shared e-scooter and shared bicycle behaviour. We will analyse the data