Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Empa
- Nature Careers
- 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)
- School of Architecture, Civil and Environmental Engineering ENAC, EPFL
- University of Geneva
- Università della Svizzera italiana (USI)
- 12 more »
- « less
-
Field
-
COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
-
and coordination experience Further information about NCCR CLIM+ can be found on our website . Questions regarding the position should be directed to Prof. Sonia I. Seneviratne, sonia.seneviratne
-
) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
-
research experience Contact information for reference letters from 3 referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or
-
portal. The deadline for applications is the 3rd of April, 2026, with a start date of Summer-Autumn 2026. Further information about our groups can be found on the Planetology and High Pressure Group
-
researchers and who help to shape a forward-looking university with innovative research-based teaching. Information on your application Please submit your electronic application for this position by March 8
-
for the application process with UZH as host institution (incl. salary rates) and what information is required on AVA. (PDF, 825 KB) Please contact the responsible persons at the institute, seminar or clinic
-
80%, Zurich, fixed-term The Biomedical Data Science (BMDS) Lab investigates data-driven solutions for healthcare applications with a focus on neurological conditions such as spinal cord injury (SCI
-
environments (Schmidt, Science, 2022) — especially in the context of drug–host microbiome interactions — and developing dedicated tools and analytic workflows for the novel data modalities generated by Record
-
, NGS-based screening) Structural analysis: utilize computational structural biology tools to ensure designs maintain assembly competence and structural integrity Data integration: process and analyze