127 computer-programmer-"FEMTO-ST"-"FEMTO-ST-institute"-"FEMTO-ST" 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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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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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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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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waiting lists, support and optimise programme uptake and outcomes, using observational questionnaires and exit interviews. Methods An in-depth analysis of existing Pulmonary Rehabilitation programmes in
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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 already hold a
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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