Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Empa
- Nature Careers
- University of Zurich
- University of Zurich Blockchain Center
- ;
- ; Ecole polytechnique federale de Lausanne - EPFL
- CERN
- EPFL
- EPFL FSB
- ETH ZURICH
- INSAIT - The Institute for Computer Science
- University of Bern
- University of California
- University of Geneva
- 6 more »
- « less
-
Field
-
to muon g-2 from lattice Quantum Chromodynamics and algorithmic developments for multi-level and RG-improved simulations (research group of Urs Wenger) C.) Study of multi-hadron systems, with a focus on
-
" (D2M). This innovative project is a collaboration between the University of Basel, the Bern University of the Arts, and the FHNW. The goal is to develop a highly automated, reproducible pipeline
-
Intelligence in Mechanics and Manufacturing (AIMM) at ETH Zurich, is offering a position in the field of data-driven optimization. Project background Our research focuses on the development and application
-
materials, technologies and systems. Your tasks Develop a model to investigate strategies to increase dynamic supply of secondary raw materials based on future sources and technologies and explore
-
base funding as well as external research grants. You will monitor and forecast budgets, process invoices, manage credit cards, and prepare financial reports and coordinate audits. You will coordinate
-
Sensing Laboratory focuses on the development of advanced sensor platforms that combine chemistry, physics, and engineering to address societal challenges in health and environmental monitoring
-
80%-100%, Zurich, fixed-term Our research group on Law, Economics and Data Science at the Center for Law & Economics is looking for a highly motivated Data Science Research Assistant to develop and
-
Management Services (DMS) team within sciCORE. In this role, you will help develop and maintain the LabKey platform, supporting scalable and interoperable research data services. You will work closely with
-
headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
-
, developing microbial solutions to tackle persistent pollutants like PFAS and pharmaceuticals. We are looking for a motivated HIWI student to join our team starting 15th of May 2025. In this role, you will