75 computer-programmer-"https:"-"U"-"Inserm"-"UCL"-"FEMTO-ST"-"https:" positions at Ulster University
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explore how this programme could also work for children with SEN and complex needs, and engage parents and families more directly. Aim: To explore the impact of a school based PL programme for children with
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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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on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award. *Part time PhD
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applicants worldwide, regardless of residency or domicile. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a
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residency criteria which requires that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who
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residency criteria which requires that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who
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Ghorbani, S., Wloka, C., Etemad, A., Brubaker, M. A., & Troje, N. F. (2020). Probabilistic character motion synthesis using a hierarchical deep latent variable model. Computer Graphics Forum, 39(8
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. The proposed PhD is a partnership with Age NI. Age NI have led two important online programmes recently. The Good Vibrations programme was a men’s health programme aimed specifically at men aged 50 and over. It
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to accelerate the growth of existing neoplastic lesions (Mason 2009). These complexities highlight the need for sophisticated interdisciplinary approaches. This research programme will integrate artificial
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insights that support diagnosis, rehabilitation, and long-term wellbeing. The programme will focus on developing responsible, interpretable, and accessible AI frameworks that enable clinicians and