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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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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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algorithms that work in-the-loop, and deliver empirical work and publications. Main Duties and Responsibilities 1. Take a leading role in the planning and conduct of assigned research individually or jointly
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, parent, and health care professional events for both internal and external stakeholders, responsible for the development, application and distribution of advertising media, attendee management and all
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experience in person and digitally, using UofG Helpdesk, by phone and via other digital channels. 2. Distribute to the correct locations and re-shelve returned items of main library and High Demand Collection
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the roving student ambassador team to monitor entry with reference to admission and membership policy. Assist with queue management and support correct use of the library entrance gates. 3. Distribute
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the project to have well-distributed data both in space and time. This will ultimately lead to higher quality (more spatially and temporally accurate, complete, precise) 3D models. However due to the complexity
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of the ten PHIRST teams. Within PHIRST Fusion, one partner will lead each evaluation, aiming for an even distribution of work over the funding period. PHIRST Fusion researchers will be supported by a project