Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Nature Careers
- Empa
- University of Zurich
- University of Geneva
- ;
- CERN
- EPFL
- EPFL FSB
- ETH ZURICH
- ETH Zürich
- Ecole Polytechnique Federale de Lausanne
- European Magnetism Association EMA
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Bern
- 6 more »
- « less
-
Field
-
We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields
-
facilitate effective data management, analysis, and visualization for researchers. By acting as an interface between the two domains Research and Informatics, R-IT helps ensure seamless communication and
-
. Our offer You will be enrolled in the doctoral program in Mechanical Engineering at ETH Zürich under the supervision of Prof. Dr. Dennis Kochmann and Dr. Jakob Schwiedrzik. This fully-funded and full
-
afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
-
the data and AIXD results Carry out standard tasks of debugging and documentation of the AIXD toolbox Profile You are a developer with a BSc or MSc in Computer Science or related fields, with proven
-
research assistant position in Development Economics. The starting date is the 1st of October for 6 months. This is a position to get some research experience between a Master’s degree and a PhD program. Job
-
multidisciplinary research program and collaboration network in the area of Culturomics. Promising candidates possess an interdisciplinary profile that combines outstanding microbiological expertise with excellent
-
Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
-
on the following activities: Writing scripts for the automated collection and cleaning of data, and organizing it into a database Computing simple statistics Preparing graphical representations Testing surveys
-
utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel