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Application deadline: 8 January 2027 at 12pm (UK time) The UCL EPSRC Doctoral Landscape Award (UELA) is recruiting for approximately 50 fully funded, 4-year PhD studentships, starting in October
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comprehensive and innovative methods to directly test palaeoecological hypotheses using both fluid dynamics simulations and experiments, which will be applicable across the study of life on Earth. https
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LanguagesENGLISHLevelGood Additional Information Additional comments The full text of the call of proposal can be found at the following link: https://unipv.patisweb.it/page_tg/51302/concorsi-per - ricercatori.html
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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the University of Edinburgh, UCL and University of Bristol, and you will have the chance to work with researchers across our network at other UK universities. The PhD studentship would be co-located with
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 days ago
Zhang, Jonathan Ashdown, Valeria Loscri, Francesco Restuccia, Finding a needle in a (Spectrum) haystack: Multi-band multi-device radio fingerprinting, Computer Networks, Volume 280, 2026, 112148, ISSN
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 days ago
context of the ANR PRCI CoDaLi project, with Inria Rennes and the RPTU (https://rptu.de/ ). The general objective of the CoCoDaLi project is to design and implement offline and runtime techniques that allow
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ScienceCountryRomaniaCityCluj-NapocaGeofield Contact City Cluj-Napoca Website http://www.ubbcluj.ro/ Street St. M. Kogalniceanu nr. 1 Postal Code 400084 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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, engineering, mathematics, physics or related field; strong programming skills; interest in ML, computer vision, robotics, embodied AI or autonomous systems; motivation for independent research and high-quality