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Field
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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. · Assist in accurate data entry, coding, and preparation of progress reports and documentation. · Contribute to the planning and refinement of research activities based on field experience
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
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Title’ using the programme code:8080F Research area: Statistics select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further
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: search for the ‘Course Title’ using the programme code: 8060F. select 'PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide the following
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epidemiology, microbial genomics bioinformatics (coding skills) to assess measles evolution and diversity and implement your findings directly into WHO public health infrastructure (MEaNS database) to be used by
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score of 7.0 overall with a minimum of 6.5 in all sub-skills. How to apply For information about how to apply for this studentship, see www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code
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Sciences, Environmental Sciences, Earth Sciences, Material Sciences, Biochemistry. Must have analytical chemistry skills and good numeracy; experience of mathematical coding would be desirable. Start date 1
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of the supervisory team will share code and provide support where needed. Feasibility: Objectives for this project are well defined and the student will have the flexibility to tackle the objectives that align most
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block diagrams, the high-level layout of component arrangements or source code. Supervisory Team: The candidate will be supervised within the Cybersecurity and Computing by Dr Abdul Razaq and Dr Sanaz