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generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and
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generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and
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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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objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new
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interdisciplinary research and applying mathematical techniques to ecological data and environmental challenges is highly desirable. About our School Please find further information regarding the School
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to that data will be strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working
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strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working at the University
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. The successful candidate will be responsible for supporting the interdisciplinary and multidisciplinary research and professional development objectives of the programme, including implementation of advanced
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enquiries contact: Kevin Marchbank, Kevin.Marchbank@ncl.ac.uk . Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ . Find out more about our Research Institutes