Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- ETH Zürich
- Nature Careers
- University of Basel
- Empa
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Academic Europe
- Paul Scherrer Institut Villigen
- UNIVERSITY OF ST GALLEN
- University of Geneva
- University of Zurich
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- EPFL
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- EPFL FSB
- ETH ZURICH
- ETHZ & University of Zurich
- Ecole Polytechnique Federale de Lausanne - EPFL
- Graduate Institute of International and Development Studies
- Swiss Federal Institute of Technology Lausanne, EPFL
- University of Applied Sciences Northwestern Switzerland
- University of Bern
- University of Lausanne;
- 13 more »
- « less
-
Field
-
. We take a bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Job description Track 1
-
The School of Engineering at EPFL invites applications for a Tenure Track Assistant Professor faculty position in Adaptive Neurotechnologies, with an expected start date in 2026 (or as mutually
-
aims to address this critical need by leveraging the power of spatial transcriptomics (ST) and high-plex immunofluorescence (IF) on a large cohort of archival CRC tissues. A key objective is to recapture
-
EPFL - Ecole Polytechnique Fédérale de Lausanne, EPFL Faculty Affairs Position ID: 2244-TTAP [#27524] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Lausanne, Vaud
-
-time position as Full, Associate or Assistant Professor (Tenure track) in Accounting and Control Information Start date: August 1st , 2026 or on a mutually agreed date. Activity rate: 100% Workplace
-
track record in the publication of peer-reviewed scientific articles and/or patents. Specific Requirements Your assignments Elucidating signal transduction involving GPCR, cytokine-, immunoglobulin
-
Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
Machine Learning (DM3L) Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for satellite-based tracking of global CO2 and NOX emissions of point sources 80
-
research group we offer a tenure track position, from January 2026, or by arrangement, as a Scientist on Novel Forest Ecosystems at the Insubric Ecosystems Research Group (f/m/d) As an internationally
-
-science research campus in Schlieren (ZH). We have a long-standing track record of gene therapy bench-to-bedside development for inherited diseases. Based on bio-inspired principles and novel biomimetic
-
The position is initially funded for one year, with potential extension. The ideal starting date is 01 December 2025 but can be negotiated. We are looking for a researcher with a track record in OPM