5 high-performance-quantum-computing-"https:"-"https:" PhD scholarships at University of Cambridge
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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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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Ramboll and Buro Happold who work across diverse projects with key clients focused
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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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Secondary flows in turbines are a major source of aerodynamic loss and performance degradation and have therefore been studied extensively over many decades. Much of this work has focused
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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