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-cell RNA-seq datasets; (2) cross-validating the pattern in independent datasets and (3) associating observed spatial patterns with known literature in congenital heart disease. References https
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simulation techniques, as well as available data from scientific publications, citations, and science career trajectories. The goal is to design better incentives for scientists to produce their best work
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simulation techniques, as well as available data from scientific publications, citations, and science career trajectories. The goal is to design better incentives for scientists to produce their best work
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
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ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
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technologies through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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processing, and efficient use of multiple foundation models. The work will combine algorithm development with experimental validation. Established datasets and simulation environments can be used for
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will initially use established datasets and simulation environments to enable controlled comparison with existing approaches. Selected methods can then be evaluated through real-world human-robot
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trapped within a deformable, yield-stress material. Working alongside a co-supervised PhD student and the wider investigator team, you will build and extend simulation tools to explore droplet
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agriculture, that are typical of complex systems. Ecosystem and social system modelling therefore, including simulation, can play a key role to understand food production and ecosystem interactions. If