Sort by
Refine Your Search
-
, the electricity system, markets, or policies could lead to the widespread adoption of V2G for electric trucks? How do policies and market designs affect the cost effectiveness of large-scale heat pumps? What
-
(IVT) at ETH Zurich intends to develop scalable optimization systems for operational support in large-scale road networks. Modeling and simulation are powerful tools for the development and validation
-
. Profile The ideal candidate will be a computer science student or a student with extensive practical programming experience. Interest in the social sciences and law is a big advantage. Workplace Workplace
-
This project arises from a collaboration between the Swiss Data Science Center (SDSC), MeteoSwiss, and EUMETNET. The SDSC has been a National Research Infrastructure since 2025, evolving from a
-
,3 ,4 ,5 ). The group has worked on a large variety of viral and bacterial pathogens of humans and animals and uses mostly E.coli, bacteriophages and plasmids to study epidemiological and evolutionary
-
of large data analyses as well as very good English language skills are mandatory. Knowledge of the German language and experiences with stakeholder interactions are a plus. Workplace Workplace We offer Your
-
for decentralized and distributed data-driven 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
-
university near Zurich. You have an interest in law or policy diffusion, privacy law, and international comparative law. Knowledge of privacy / data protection law is highly desirable. You have excellent
-
focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
-
seamless data transfer between the office and the construction site, with a focus on visualization, visual analytics, explainable ML/AI or Large Language Models. Integrated and continuous information