97 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Switzerland
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- University of Basel
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learning, non-Hermitian systems The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for PhD positions to work at the intersection of computational quantum many-body physics, machine
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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
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Interact with national and international teams of mathematicians and computer scientists PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates
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part of this program, IOB offers PhD and MD-PhD fellowships to outstanding candidates from diverse fields such as Biology, Medicine, Physics, Computer Sciences and Engineering who wish to pursue
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? No Offer Description PhD position in Computational mechanics The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student
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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
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Spatio-temporal causal modeling of shared EV demand ETH Zurich is one
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD positions in High-voltage circuit breaker technology
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17 Oct 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Computer engineering Engineering » Electrical
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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