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Would you like to help build the University of Cambridge's AI for science community? The Accelerate Programme for Scientific Discovery is a high-profile Cambridge University initiative promoting
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. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems
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funded by the EPSRC AI Hub on Information Theory for Distributed Artificial Intelligence (INFORMED-AI). INFORMED-AI is a joint programme run by the University of Bristol, the University of Cambridge
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Research Assistant / Research Associate in Frontiers of Atomistic Simulation Techniques (Fixed Term)
at the Cavendish Laboratory, University of Cambridge aims to fill a Postdoctoral Research Assistant/Associate position, for 2 years with the possibility of extension, subject to funding. This position is intended as
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(healthcare, clinical trials). The research will involve working on research cohort and clinical data, applying machine learning models to synthesise biological (brain imaging, genetic) and cognitive
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, information, control, mathematics History modern British history Mathematics (one or more of the following) statistical modelling, mathematics of machine learning, automata and formal languages, topics in
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, information, control, mathematics History modern British history Mathematics (one or more of the following) statistical modelling, mathematics of machine learning, automata and formal languages, topics in
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, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and
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Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with machine learning and
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical