Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- ETH Zürich
- Empa
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Nature Careers
- Paul Scherrer Institut Villigen
- University of Zurich
- University of Basel
- EPFL FSB
- CERN - European Organization for Nuclear Research
- European Magnetism Association EMA
- Swiss Federal Institute of Technology Lausanne, EPFL
- École Polytechnique Fédérale de Lausanne (EPFL)
- 3 more »
- « less
-
Field
-
the fellowship allowance to carry out the research project as well as resources for the fourth year, provided the candidate successfully passes the review process. It is not possible to resubmit an application
-
papers, present results within the lab and at conferences, and help mentor students. Use and maintain lab resources on HPC and Github. Tools you will use daily include Python and R, version control (Git
-
providing operational leadership, particularly in Germany, Switzerland, Poland, and with the resources of Functional Service Providers in the assigned EU region. The position integrates local insights
-
cohorts and computational resources. A stimulating and collaborative research environment within ETH Zurich's D-BSSE in Basel and the Pathology Department of the University Hospital Basel. Competitive
-
) frame a clear AEC challenge, (b) pick the right tools (not all of them), and (c) show how your work creates impact to improve resource efficiency, reduce carbon emissions, or increase productivity. Some
-
website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/ ). Opportunity to perform state-of-the-art research in one of the most dynamic
-
engineers, economists, and social scientists working on engineering solutions for environmental and human health challenges in resource-constrained settings. Our research is guided by the UN Sustainable
-
engineers, economists, and social scientists working on engineering solutions for environmental and human health challenges in resource-constrained settings. Our research is guided by the UN Sustainable
-
methods for Federated Learning on resource-constrained networks. Your research within the project will contribute towards your doctoral degree at ETH Zurich. You will be supervised by Prof. Dr. Roger
-
well as resources for the fourth year, provided the candidate successfully passes the review process. Z01_Ethical_Issues_name_of_applicant general internal Information on ethical issues and research requiring