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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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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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modern Bayesian modelling frameworks such as Stan, Turing.jl, and PyMC, including automatic differentiation frameworks, MCMC sampling algorithms, and iterative Bayesian modelling. Special attention will be
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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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Experience of working on wastewater treatment sites Track record of high-quality research, including publication in journals of international standing Excellent wet laboratory skills Excellent communication
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research project results in a fluid mechanics context, i.e. a record of peer-reviewed journal papers in a relevant area. Proven track record, supported by high-impact publications as first author, of
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in free-living condition under long timescale (weeks-months) • A track record of presenting research at conferences, symposia, or meetings, commensurate with stage of career • Demonstrable
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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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to discover new materials for Next Generation Photovoltaics. You should have a PhD in Chemistry, Physics or Materials Science, a strong publication track record and a demonstrated commitment to excellence