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| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and
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, please submit your CV and a cover letter outlining your research interests and relevant experience to Connor.Taylor@nottingham.ac.uk . Please also contact this email for further information and an informal
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, including those in local clinical settings, national meetings of the MHM; and to have interests across both qualitative and quantitative approaches to healthcare analysis. Further information: Applicants
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. Boiling is a technology central to both fusion and fission nuclear reactors, also including thermal management of several reactor components. The aim of these simulations is to generate data that can be
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that present significant problems for data reduction and analysis. This PhD project, in close collaboration with researchers at ISIS Neutron and Muon Source and University of Nottingham, will address this by
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study for three years. It will cover University of Nottingham home or international fees for three years plus an incremental stipend for each of the three years starting at £20,780 in Year 1. Travel
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and a generous study package. Interested in this studentship? Applications with a CV, cover letter and academic transcripts should be sent to Dr Xin Dong. Suitable applicants will be interviewed, and if
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combination of academic and industrial challenges which will enhance the student’s ability to tackle complex intellectual and practical aspects of computer vision and robotics. We are seeking talented
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? Applications with a CV, cover letter and academic transcripts should be sent to Dr Abdelkhalick Mohammad. Suitable applicants will be interviewed, and if successful, invited to make a formal application. Do not
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. Interested in this studentship? Applications with a CV, cover letter and academic transcripts should be sent to Dr Xin Dong. Suitable applicants will be interviewed, and if successful, invited to make a formal