81 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Ulster University
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opportunities to be active. There are a number of PL programmes to support physical literacy and motor skills in children, however, the next step is to explore how this programme could also work for children with
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(SMEs) in the health and life sciences (H&LS) sector to embed and accelerate sustainable manufacturing in their businesses. Integrated research in this programme will generate evidence-based guidance
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R
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experts, building a powerful, dual-skill profile. Completing this project will establish you as a leading expert in industrial AI and computer vision, highly sought after in the growing Smart Manufacturing
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that have focussed on preventing deconditioning and its associated risks to the healthcare infrastructure here. This collaborative PhD with the Western Health and Social Care Trust (WHSCT), will work with
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engineering/electronics engineering, or a related field will be advantageous, along with knowledge of the following: *low-power circuits/system design for ASIC, *Verilog based FPGA based system design
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with a background in computing or data science who wish to connect technical innovation with human-centred system design. The project supports Northern Ireland’s priorities in Software/Cyber and Life
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clinical decision-making, program evaluation, and information-sharing with team members. This current PhD proposal is an example of implementation science because it aims to build upon an almost 20-year
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applicants from diverse academic and professional backgrounds, including (but not limited to): Film, Television, and Media Studies Artificial Intelligence and Computer Science Creative Arts and Practice-based
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Summary This research theme investigates how artificial intelligence, multimodal sensing, and spatial computing can be harnessed to improve early detection and monitoring of neurological and mental