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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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performance, a less prescriptive approach to codified concrete design, and more flexible but robust performance requirements. To support this transition, and provide confidence in performance, we must move away
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high dynamic range (HDR) imaging is redefining the way smartphone cameras and displays capture the world. Despite HDR becoming the new standard, many classic image-processing algorithms and generative
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of objects (”curved”, ”pink”, ”having eyes”, “being animate”, ”having agency”, or ones that are hard to name) that are crucial for our everyday functioning. This research is only possible now thanks to 1
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Clare College offers a Senior Research Studentship in Mathematics, Physics, Astronomy, Chemistry, Earth Sciences, Materials Science, Metallurgy, Engineering or Computer Science. Applicants must be
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), Cecilia Heyes (Oxford) and Phil Corlett (Yale). In this PhD studentship, you will lead on experimental and computational work looking at how social interaction biases feelings of confidence, and how
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to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
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studentship is part of a Leverhulme Trust Research Project entitled Bridging the scale gap: From non-equilibrium thermodynamics to contrails. The project combines laboratory-scale experiments with high-fidelity
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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 Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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. Exceptional candidates may be eligible for an International Fee Bursary. Braze Alloy Development for Advanced Repair of Aeroengine Components Brazing offers the prospect of revitalising high