Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
advanced technologies including AI and big data driven approaches to improve the accuracy, speed and personalization of diagnostic testing in medical laboratories at the molecular defined level. FAMH
-
(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
-
, 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
-
Head of the Epidemiology & Psychopathology Research Center with an Associate or Full Professor title
and cohort studies Proven managerial skills in leading and managing a large team of researchers and in international collaborations Ability to set up research programs supported by expert external
-
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
-
. 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
-
,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
-
. You feel confident to work with big data and present the findings in a clear and concise way. You hold a Master's degree, preferably in Finance, Economics, Econometrics, or related fields, and are