Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Empa
- Nature Careers
- ETH Zürich
- University of Zurich
- Paul Scherrer Institut Villigen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- ;
- Academic Europe
- CERN - European Organization for Nuclear Research
- EPFL
- ETH ZURICH
- ETHZ & University of Zurich
- Ecole Polytechnique Federale de Lausanne
- Fluxim AG
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies
- University of Bern
- University of Geneva
- 10 more »
- « less
-
Field
-
of Directors and the Steering Committee, you will help plan and evaluate projects, monitor scientific progress and ensure alignment with the consortium's goals. You will lead the preparation of key documents
-
about three and a half years, with guaranteed funding. We also support participation in conferences and optional exchange programs throughout the course of your study. The salary and general working
-
society from analytical and empirical perspectives. The NOMIS Fellowship Program supports groundbreaking research projects related to how images act as models or paradigms in scientific and aesthetic
-
(MSc., M.Eng. or equivalent) in Computer Science or related field Requirements for the position: strong programming skills (C#, Unity3D, Python, JS) experience with interactive system prototyping, AR/VR
-
of these research topics. Your position The successful PhD applicant will develop a PhD research program in the research fields listed above, or a closely related field, in close collaboration with the daily
-
highly supportive infrastructure, including state-of-the-art core facilities. Main tasks – Research: Establish a research program in the field of eukaryotic gene expression and/or functional genomics; use
-
practitioners from conservation and industry, with the overarching goal of establishing guidelines and launching an assisted migration programme for mountain plants in Switzerland that are threatened by climate
-
histological datasets. Programming skills in languages such as R and/or Python. Experience with colorectal cancer research is an advantage. Ability to work independently and collaboratively in a fast-paced
-
strategically transition promising ideas into production-ready solutions. Finally, you'll engage in collaboration and mentoring by pair-programming with master’s students, sharing best practices, and working
-
programming, modelling, and data analysis skills. Experience with formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral skills