Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
artificial intelligence and computational social science The position is designed for a cumulative PhD with a strong methodological and technical focus Our offices are located in downtown Zurich, and the
-
applications of artificial intelligence for the Swiss judiciary in close collaboration with courts and partners across Switzerland. We are looking for a PhD Student in Law. This doctoral position is part of
-
PhD positions in the field of organic geochemistry and paleolimnology (https://duw.unibas.ch/en/research-groups/organic-geochemistry/ ). The students will be part of the SNSF-project ECO-ICE, which
-
diplomas of your bachelor's and master's degrees (if available) via our online recruiting platform. If you use large language models or other artificial intelligence tools to help prepare your application
-
. Research Area and project description The project investigates how artificial intelligence can support the achievement of healthy soils by 2050 through EU policy implementation (e.g., CAP, Soil Monitoring
-
-selection is carried out by the responsible recruiters and not by artificial intelligence. Preferred start date: July 2026 or as soon as possible. About ETH ZürichETH Zurich is one of the world’s leading
-
the responsible recruiters and not by artificial intelligence. About ETH ZürichETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent
-
, geography, and artificial intelligence to develop coherent and resilient approaches for urban energy infrastructures under land-use constraints such as No Net Land Take. The consortium comprises four
-
to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH ZürichETH Zurich is one of the world’s leading universities specialising in
-
of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital endocrinology. Interested in