Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
19 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field History » Other Philosophy » Philosophy of science Researcher Profile First Stage Researcher (R1) Application Deadline 15
-
19 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field History » Other Philosophy » Philosophy of science Researcher Profile Recognised Researcher (R2) Application Deadline 15
-
26 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Technology » Energy technology
-
13 Mar 2026 Job Information Organisation/Company Paul Scherrer Institut Villigen Research Field Physics » Chemical physics Chemistry » Physical chemistry Researcher Profile First Stage Researcher
-
to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
-
. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital
-
14 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Biomedical engineering Medical sciences » Other Researcher Profile First Stage
-
-quality research. Strong analytical skills, particularly with in-situ techniques (e.g., EPMA, LA-ICP-MS, SIMS). Experience in field work, geochronology (e.g., U-Pb, Ar-Ar) and/or numerical modelling
-
100%, Zurich, fixed-term The Biomedical Data Science Lab (BMDS Lab) at the Department of Health Sciences and Technology, ETH Zurich, is seeking a highly motivated PhD candidate to join our
-
and uncertainty (e.g. demand evolution, renewable generation) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods