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development in a similar or related role(s). A3 Experience in teaching courses in Programming, Software Engineering, Machine Learning, IoT, Data Analytics, Algorithms and Programming A4 Comprehensive and up
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Job Purpose To make a leading contribution to the development of innovative muon tracking algorithms for cutting-edge applied nuclear physics research. The successful candidate will be expected
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mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and
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analytics. Collaborate with team-members to develop and implement automated platforms for chemical applications. 3. Document research output including analysis and interpretation of all data, maintaining
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Job Purpose Working with Prof. Surajit Ray, you will contribute to several projects involving the development of statistical models and deep learning framework for multimodal and dynamic medical
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for AI based algorithms. Research experience in these areas will be highly valued. The successful candidate will also contribute to the formulation and submission of research publications, development
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programming, algorithm development, and mathematical modelling. C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent communication skills (oral and written), including
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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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. The use of freely accessible raw GNSS data, which can be accessed on any current Android device, will enable the production of up to date 3D models at no or low cost, of particular value in developing
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MSc (Research): 1-2 years full-time; 2-3 years part-time; MPhil: 2-3 years full-time; 3-4 years part-time; Apply now Overview Overview Research sections Formal Analysis, Theory and Algorithms (FATA