383 systems-science-"https:"-"https:"-"https:"-"https:"-"BioData" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Empa
- Nature Careers
- University of Zurich
- ETH Zürich
- ETH
- EPFL
- CERN
- Ecole Polytechnique Federale de Lausanne
- Graduate Institute of International and Development Studies, Geneva;
- HES-SO Genève
- Paul Scherrer Institut Villigen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- 4 more »
- « less
-
Field
-
not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge
-
100%, Zurich, fixed-term The Biomedical Data Science Lab (BMDS Lab) at the Department of Health Sciences and Technology, ETH Zurich, is seeking a highly motivated PhD candidate to join our
-
is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
-
or mechanical engineering, or CS Solid knowledge of computer vision and ML, particularly anomaly detection methods Experience with multimodal data (e.g., image + time series, sensor fusion) is a strong ad-vantage
-
-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
-
, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into
-
A 50% Professorship in Early French and General Literature, with a focus on Humanism, is to be filled at the Faculty of Humanities and Social Sciences of the University of Basel beginning on
-
publishing in leading journals such as Academy of Management Journal, Management Science, Organization Science, Strategic Management Journal, and Harvard Business Review. PhD candidates are expected to produce
-
Laboratories for Materials Science and Technology (Empa). Our team is highly interdisciplinary and international, providing an inspiring environment for high impact research. We have internal expertise in (micro
-
, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Software Engineering group builds data-centric software products