136 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Ulster University
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food intake is reduced and the signalling pathways of the appetite centres of the brain involved. This PhD programme will evaluate changes in appetitive and consummatory behaviours in individuals
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access and the necessary training to the Animotive VR SaaS product. This will enable the PhD candidate to have the skills and knowledge base to roll out a programme of participatory research engagement
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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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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 doctoral degree or who have been registered
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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
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advanced AI/ML methods to neural and behavioural data to uncover the computational foundations of decision-making in humans and animals. Designing novel AI algorithms inspired by brain function, to improve
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, 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 full-time basis for
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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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programme. 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 full-time basis for more than one year (or part
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., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1833. Springer, Cham. https://doi.org/10.1007/978-3-031-35992-7_2 Familoni