Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- CERN - European Organization for Nuclear Research
- Empa
- Nature Careers
- University of Zurich
- EPFL
- Paul Scherrer Institute (PSI)
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- ;
- UniDistance Suisse
- University of Zurich Blockchain Center
- Agroscope
- CK-CARE AG
- UNIL - Faculté des SSP
- Université de Genève
- ; Ecole polytechnique federale de Lausanne - EPFL
- CERN
- EPFL FSB
- Eawag
- European Magnetism Association EMA
- FRANKLIN UNIVERSITY SWITZERLAND
- Fachhochschule Nordwestschweiz FHNW
- Friedrich Miescher Institute for Biomedical Research
- INSAIT - The Institute for Computer Science
- MPP - Medicines Patent Pool
- University of Fribourg
- Universität St. Gallen
- École Polytechnique Federale Lausanne (EPFL)
- École Polytechnique Fédérale de Lausanne (EPFL)
- 21 more »
- « less
-
Field
-
advanced technologies including AI and big data driven approaches to improve the accuracy, speed and personalization of diagnostic testing in medical laboratories at the molecular defined level. FAMH
-
. The GRACE mission has transformed the way we can monitor surface mass changes in the Earth system. By applying machine learning methods to terrestrial water storage anomalies derived from GRACE data, we aim
-
with a high inclination for Earth Sciences. You will help the BedrettoLab team with: Data acquisition with borehole logging techniques and rock core scanning devices Data analyzing with standard software
-
. This position is part of a larger consortium bringing together engineering, data science, microbiology and medical expertise from ETH Zürich, University Zürich, University Hospital Zürich and Balgrist Hospital
-
of complex and large-scale biological data through the design and application of novel computational approaches. The DBC is looking for a scientist in the early stage of their career but with a proven track
-
will develop and implement web scraping solutions to collect data from websites, including ones with anti-bot mechanisms. This involves designing efficient scraping strategies, preprocessing collected
-
conduct cutting-edge research smart contract development, and implementation for innovative applications and code analysis with the scope of on-chain data collection. The candidate would also be involved in
-
, or later. Applications will be accepted until the position is filled. For more information about our group, please visit our website . Profile We welcome candidates who have hands‑on experience in
-
animal-free, human-relevant New Approach Methodologies (NAMs). This includes NAM data analyses, strategic publications (e.g. on Adverse Outcome Pathway or other concepts for DART evaluation), networking
-
on the diagnosis, prevention, and treatment of diseases. Read more 21.08.2024 SNSF and Innosuisse online information events Looking for funding for your project? Find out all about the SNSF and Innosuisse funding