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Bayesian methods, deep learning, deep generative models, reinforcement learning, graph neural networks. Interviews are expected to happen in July 2025. Applicants are encouraged to guarantee that referees
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mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research objective is to find the best way to embed simple partial differential
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-driven algorithms which can solve state estimation problems in fluid mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research
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. The project is named REMORA - REndezvous Mission for Orbital Reconstruction of Asteroids: a fleet of self-driven CubeSats for tracking and characterising asteroids (£1.9m). The REMORA project will lay
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, economic viability, and robustness to realistic operational uncertainty. PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control
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rheology, functional ingredients. Experience of data handling and statistical analysis. Track record of scientific writing (for career stage), with publications in peer-reviewed scientific journals
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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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relevant degree in health science (essential criteria). We are looking for candidates who have demonstrated a track record in research, preferably around issues relating to cancer diagnosis, for example
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good interpersonal skills; and (f) have an excellent command of English. The applicants should demonstrate strong potential to be internationally prominent through a track record of excellent
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track record of successfully delivering aerothermal technology development projects, with specific skills relating to rotating turbine tests. We are looking for a diverse skillset, including good