85 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Ulster University
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influencing experience with the programme for children, teachers, classroom assistants, and families. To identify adaptations needed to roll the programme out more widely. Implement and evaluate the adapted PL
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reading Activity Alliance, 2020. My Active Future: Including Every Child. Available at: https://www.activityalliance.org.uk/how-we-help/research/5658-my-active-future-including-every-child-march-2020
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part of this exciting programme Ulster University is pleased to announce that we are offering up to ?? studentships to help develop collaborative programmes of research between the partners and academic
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supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB) involving a range of partner organisations. NWCAM2 is an initiative seeking to help small and medium sized enterprises
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in this programme will generate evidence-based outcomes for technology adoption, collaborative frameworks between industry and academia, and practical roadmaps for transitioning towards sustainable and
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, configurable weight storage. The project will help advance neuromorphic computing by enabling hardware that is more robust, repairable, scalable, and energy-efficient. You will join the CNET research team
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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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of health promotion programmes, such as online falls prevention programmes, might be one solution. Online programmes help address difficulties in accessing programmes for people with physical limitations
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Development of smart clothing for physiological monitoring of children with heart conditions at home
an increasing number of infants with complex conditions can now survive. They are however, a vulnerable group and there is an increasing need for robust home-monitoring to assist with early detection of changes
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, computational fluid dynamics (CFD) models, are used to aid fire safety design, but they are often computationally intensive and time-consuming, hindering reliable fire safety assessments. Artificial intelligence