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of machine learning emulators for enhancing the above processes in speed and accuracy PolyChord Ltd is a spin-out company (SME) from the University of Cambridge, transferring technology from academia
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://www.postgraduate.study.cam.ac.uk/courses/directory/cscspdpcs Students wishing to pursue a PhD at the University of Cambridge are required to submit: A short research proposal outlining the work they intend to carry out during
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, candidates will need to submit a formal application to the University of Cambridge for a PhD in Physics. EU eligibility criteria for candidates: The Doctoral Candidate (DC) may be a national of a Member State
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Supervisory Team: Dr Han Wu PhD Supervisor: Han Wu Project description: In the wake of growing data privacy concerns and the enactment of the GDPR, Federated Learning (FL) has emerged as a leading
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Fixed-term: The funds for this post are available for 48 months. The Project Applications are invited for a PhD student to work on machine-learning guided and verifiably correct code generation
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that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from control theory, machine learning, optimization
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subjects are valued: estimation theory, machine learning, optimization, signal processing, system identification, and control theory. Rules governing PhD students are set out in the Higher Education
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acquire new skills and work in new ways, to help us realise the potential of the digital and data revolutions in materials science. This is Materials 4.0. You will join a community of like-minded PhD
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will be drawn from across statistics, machine learning, physics, and applied mathematics. The goal will be to create algorithms to analyse disparate systems, along with an understanding
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We are excited to announce an EPSRC-funded PhD studentship opportunity in the field of computational neuroscience, in the Department of Engineering, University of Cambridge. Aims This PhD project