68 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at Ulster University
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approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in
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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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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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Computer Vision for Automated Counting and Group Size Estimation of Scavenger Species in Camera-Trap Imagery Supervisor Names: Dr. Jorge Martinez Carracedo This project will develop AI-enabled camera traps
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to be used, fabrication methods, radiation modelling, and computational fluid dynamics. Bench scale reactors will be fabricated and tested in the lab for the removal of CECs in simulated wastewater
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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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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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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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for innovation, productivity and internationally orientation in the NIE Programme for Government and are one of seven sector specific action plans (DfE 2024). Data on Creative Industries’ (CI) participation
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', Department for Agriculture, Environment and Rural Affairs, Published 16 December 2013, [Online] Available at: https://www.daera-ni.gov.uk/publications/review-waste-disposal-mobuoy-site-and-lessons-learnt