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Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication, learning, and shared understanding in blue
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to prepare project reports and co-author research papers. The ideal candidate is expected to be working towards a PhD in Computer Engineering, Computer Science, Computer Systems Engineering, Electronic
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practical implementation, always grounded in real-world urban challenges. This PhD position is offered in collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof
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following criteria: PhD in Computer Engineering, Computer Science, Electrical Engineering, or a closely related field Demonstrated research excellence, evidenced by peer-reviewed publications Expertise in
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Computer Science will ensure strong interdisciplinary support while bridging academic research and industry innovation. Candidate We are looking for a highly talented and dedicated PhD student with a 1st
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employment. Please find all details at: https://www.tuwien.at/en/mg/geo/news/news-detail/news/researcher-in-gnss-reflectometry-vegetation-mapping Where to apply E-mail apply@geo.tuwien.ac.at Requirements
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Infrastructure? No Offer Description Work group: PGI-14 - Neuromorphic Compute Nodes Area of research: PHD Thesis Job description: Your Job: You will participate in an international team in an EU-funded Doctoral
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to excel in their chosen fields. The department has research strengths in Interactive Systems, Computational Intelligence, Pervasive Computing, and Cybersecurity, with active research groups breaking new
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Infrastructure? No Offer Description Work group: PGI-14 - Neuromorphic Compute Nodes Area of research: PHD Thesis Job description: Your Job: You will participate in an international team in an EU-funded Doctoral
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Please find all details at the following website: https://www.tuwien.at/en/mg/geo/news/news-detail/news/stellenausschreibung-trajectory-estimation-researcher Where to apply E-mail apply@geo.tuwien.ac.at