Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Nature Careers
- Empa
- ETH Zürich
- University of Zurich
- ETH
- HES-SO Genève
- EPFL
- Ecole Polytechnique Federale de Lausanne
- Friedrich Miescher Institute for Biomedical Research
- GRADUATE INSTITUTE
- Graduate Institute of International and Development Studies, Geneva;
- Paul Scherrer Institut Villigen
- 4 more »
- « less
-
Field
-
100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
-
organised individual to support multiple experimental and computational research groups. The successful candidate will contribute to both a collaborative research network and institute-wide activities
-
-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable
-
., maintenance of lab records and study materials, participant recruitment, support relating to teaching). Your profile You are enrolled in a Bachelor program at the University of Basel, preferably in psychology
-
dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
-
in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV
-
100%, Basel, fixed-term The highly competitive Bio-Engineering Systems for Therapeutics (BEST) postdoc program, part of the Next-gen Bioengineers initiative, is run jointly by ETH Zurich and Roche
-
the Study of Religion: 12 months Faculty of Law: 12 months Faculty of Business, Economics and Informatics: 12 months Faculty of Medicine: 12 months Vetsuisse Faculty: 12 months Faculty of Arts and
-
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
-
-dimensional biological datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental scientists to translate computational findings into biological insight