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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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to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8209F Select ‘PhD
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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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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
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Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the programme of study You will then need to provide the following
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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