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party, making it impossible to make informed decisions. This leads to scheme designs based on the model outputs without fully comprehending the quality of these outputs, whether they have been optimised
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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Title: Disentangling and modelling behaviourally-relevant visual and semantic dimensions of visual cognition in the human brain (Kamila Maria Jozwik lab, the University of Cambridge)Application
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in vivo disease models. The project will form part of a EC Marie Sklodowska-Curie Doctoral Training Network (LowDataML), which involves academic and industrial teams across Europe. Although based in
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Funder: EPSRC and Rolls-Royce Duration: 3.5 years from 1 October 2026 Supervisors: Prof Howard Stone Location: The PhD studentship will be based at the University of Cambridge in the Department
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from semi-empirical Ordinary Portland Cement based performance measures to more fundamental measures that better capture/represent different binder and concrete formulations with lower carbon intensities
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critical computing. High-level topics include: social identity cues in the design of LLM-based chatbots or social robots trust and reliance on conversational agents designed to be charming and disarming so
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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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models remain limited to the world of standard dynamic range (SDR). This project seeks to bridge that divide, unifying methods and technologies designed for both SDR and HDR content-spanning still images