101 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Switzerland
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- University of Basel
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- Empa
- Paul Scherrer Institut Villigen
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- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
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- CERN - European Organization for Nuclear Research
- ETHZ & University of Zurich
- Ecole Polytechnique Federale de Lausanne - EPFL
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- Prof. Dr. Ricarda Toerner
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
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- École Polytechnique Fédérale de Lausanne (EPFL)
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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 hold a Master's degree in computer science, mathematics, or electrical engineering, with demonstrated strength in either practical implementation or theoretical
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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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guidance and robotics. Our work combines medical imaging, computer vision, and machine learning with strong clinical translation, in close collaboration with Balgrist University Hospital and the national
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position - C++ Software Engineering of a 3D Cell-Based Tissue
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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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position (technician) will focus on performing Raman/FTIR on retrieved samples. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data.