Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Nature Careers
- Empa
- University of Zurich
- EPFL
- University of Geneva
- ;
- ; Ecole polytechnique federale de Lausanne - EPFL
- CERN
- EPFL FSB
- ETH ZURICH
- Ecole Polytechnique Federale de Lausanne
- European Magnetism Association EMA
- University of Bern
- University of California
- 6 more »
- « less
-
Field
-
research and its efforts to put new knowledge and innovations directly into practice. Scientific Software and Data Management (SSDM), part of Scientific IT Services (SIS) within central IT, develops
-
international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior
-
the possible effects on transition pathways Contribute to the collection, updating, and consolidation of data required to assess the secondary raw materials potential and characterize stocks and flows e.g
-
Head of the Epidemiology & Psychopathology Research Center with an Associate or Full Professor title
equivalent), MD, MD-PhD or PhD Specialist title degree in psychiatry (ISFM or Mebeko equivalent) or PhD in psychology Proven high level track record in psychiatric epidemiology including expertise in family
-
mandate is to support academic groups and research, hospitals, industry, and the public sector at large, including cantonal and federal administrations. The center accompanies and supports their entire data
-
for an exceptional and highly motivated PhD candidate for a joint project. We are recruiting a full-time (100%) PhD Student with a strong interest in peptide chemistry, mass spectrometry, and modern drug discovery
-
100%, Zurich, fixed-term The enhancement of endoscopic videos is a critical yet complex task. These videos are integral to various clinical interventions, where the clarity of imaging data is
-
100%, Zurich, fixed-term The Chair of Space Geodesy invites applications for an exciting PhD opportunity focused on advancing research in satellite gravimetry for hydrology using machine learning
-
supervision of Prof. Robin Erbacher, and is expected to play a leading role within the endcap muon CSC and/or GEM detector subsystems, both on upgrades and operations. They will also work on CMS data analysis
-
framework for uncertainty quantification, which is widely used in academia and industry. Project background This PhD position is part of the ORACLES project ("Optimization, Reliability And CaLibration using