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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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other project partners, and to take advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research
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scientific articles for publication in leading peer-reviewed journals. Candidates must hold, or be about to obtain, a PhD in engineering, applied mathematics or a related subject area, with a major component
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Science and Mathematical Modelling, and Stellenbosch University’s Mathematical Modelling group in South Africa. This cross-continental partnership, based in the UK with mobility to South Africa, fosters
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Apply for this job See advertisement About the position One or two PhD Research Fellow positions are available at the Department of Mathematics in the research group of Prof. Andreas Carlson
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framework for identifying optimal study designs. At La Trobe, The Research Fellow will be a member of the Infectious Disease Modelling Group in the Department of Mathematical and Physical Sciences (School
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Methodology The PhD candidate will develop innovative AI models using machine learning and deep learning frameworks. Methodologies will include supervised and unsupervised learning approaches to identify and
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significant travel to Kenya for fieldwork. About You You will have a PhD in malacology, epidemiology, spatial mapping, mathematical modelling or related disciplines and be able to demonstrate a sound