45 phd-position-in-data-modeling-"Prof"-"Prof.-Dr" Fellowship positions in United Kingdom
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To join the Airway Innate Immunity Research group led by Prof Cliff Taggart at the Wellcome-Wolfson institute for Experimental Medicine. This MRC-funded position will involve the evaluation of a
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this will involve the development of novel ML/DL methods which leverage both computational and experimental data. Candidates should also have experience of numerical modelling (e.g. CFD and FEA), working as
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research project which launched in March 2025 and is coordinated by Utrecht University. It brings together 24 partners from a wide-range of disciplines in future climate model development, paleo-climate data
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welcome applications from service people. Further information For further information please contact Prof. Julian Moger, e-mail j.moger@exeter.ac.uk. The closing date for completed applications is 19th
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K.M.Ziems@soton.ac.uk or r.s.minns@soton.ac.uk . Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification
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related to staff position within a Research Infrastructure? No Offer Description To join the Airway Innate Immunity Research group led by Prof Cliff Taggart at the Wellcome-Wolfson institute
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observations, remote sensing, historical data analyses and numerical modelling. Many activities have already started, paving the for a ground-breaking fieldwork element that includes the first deployments of
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a range of discounts. For additional information or informal enquiries please email K.M.Ziems@soton.ac.uk or r.s.minns@soton.ac.uk . Applications for Research Fellow positions will be considered from
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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collaboratively in relevant areas. Funding for the position is available for 2 years. The candidate will analyse metabolic and immune functionality using a variety of in vitro and in vivo models relevant