Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
-
applications, including solving mathematical reasoning problems and tackling the Abstraction and Reasoning Corpus (ARC) challenge among others. The ideal candidate has a strong background in machine learning and
-
Prof. Olga Fink (EPFL IMOS) and the UESL team at Empa, combining cutting-edge expertise in machine learning and energy system modeling with strong ties to academic and industry partners. The PhD is
-
the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
-
), the Department of Transport and Planning at TU Delft, and Mobility Car Sharing. Job description The main objective of this PhD position is the investigation and application of methods for evaluating the impact of
-
17 Oct 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Computer engineering Engineering » Electrical
-
staff position within a Research Infrastructure? No Offer Description PhD positions in Agri - Food System Policy and Plant-Based Value Chains ETH Zurich is a world - leading university dedicated
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Soccer Analytics The Algorithms and Visualization
-
by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position in Molecular Biology & Biophysics - Hospenthal Group The Hospenthal Group
-
active sites), in vitro and in vivo enzyme screenings, electrochemistry, and machine learning-assisted directed evolution. As part of this project, you will collaborate closely with PhD students and