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logical choice for its staff and students. YOUR TASKS Job description The “AI for Energy” team (AI4E), led by prof. Chris Develder and prof. Bert Claessens at the Internet and Data Lab (IDLab) at Ghent
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Institution: Technical University of Munich (TUM), Germany – 12 months Industrial Partner: GIM Robotics, Finland – 24 months Supervisors: Prof. Achim Lilienthal (TUM), Dr. Jose Peralta (GIM Robotics) Target
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. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration with the Department
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and optimisation algorithms, focusing on their practical application in the context of the RaceEngineerAI project. Tasks include: - Developing models capable of simulating the behaviour of racing
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
(MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala Universitet. Print4 Life – Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues of the Future https
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description Prof. Yi Fang at the Center for Interacting Urban Networks, New York University Abu Dhabi
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Offer Description Software Engineer - LISA Space Mission ETH Zurich | Space and the Gravitational Physics Research group led by Prof. Michele Vallisneri in the Dept. of Physics at ETH Zurich invite
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unrestricted, and international travel assistance is available. Fellows work independently under the mentorship of the project director, Prof. Simon DeDeo, and a board of advisors in mathematics (Akshay
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working hours and intensive cooperation in a committed team. The application deadline is November 13, 2025. If you have any questions, please contact Prof. Mihai Orzan (mihai.orzan@ase.ro ). You can find
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 11 days ago
management from water and energy sensors; Development of algorithms to improve data collection pipelines from water and energy sensors; Analysis of water and energy datasets using AI techniques, including