Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Empa
- ETH Zürich
- Nature Careers
- Paul Scherrer Institut Villigen
- CERN - European Organization for Nuclear Research
- Ecole Polytechnique Federale de Lausanne
- Fluxim AG
- Friedrich Miescher Institute for Biomedical Research
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- 1 more »
- « less
-
Field
-
of the design space, aiming to improve the interpretability and understanding of the possibilities and limitations of the problem. This involves implementing additional embedding models in the AIXD Python core
-
, microfluidics, patient samples, microscopy, in vivo models, genome engineering, single-cell analysis, and computational and molecular biology to elucidate the inner workings cancer cells and adult stem cells. Job
-
contribute to the development and optimization of the training pipelines for these large-scale models, working at the intersection of cutting-edge research and high-performance computing to advance
-
As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
-
circuits where relevant; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly and contributing to publications
-
utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel
-
. Dagmar Iber, which uses advanced imaging and computational tools to develop data-driven, mechanistic models of biological systems. Located in Basel, the Department of Biosystems Science and Engineering (D
-
track. We then develop and evaluate a robust cannabis-driving detection model before and while driving. Ultimately, we are working towards a scalable digital biomarker platform for in-vehicle driver state
-
; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly and contributing to publications and presentations; and
-
language models, can be leveraged to learn from system developers’ documentation, then assist the system developers and finally propose modifications to the system developers. This will support digital