161 associate-professor-computer-science-"https:" "https:" "https:" positions at Ulster University
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in Computer Science / Artificial Intelligence or related discipline. Experience of working with sensors. Strong interest in carrying out innovative research in a health context. The successful
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. & Pivokonska, L. (2021). Current knowledge in the field of algal organic matter adsorption onto activated carbon in drinking water treatment, Science of The Total Environment, Volume 799, 149455. https://doi.org
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usage. The work will be undertaken in close collaboration with Nugent Engineering Ltd, ensuring the research is driven by real production needs and validated in industrial setting. The candidate will gain
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diabetes, obesity and associated co-morbidities. Peptides. 187:171380. PMID: 40081498. https://pubmed.ncbi.nlm.nih.gov/40081498/ Lafferty RA, Flatt PR, Gault VA, Irwin N. 2024 Does glucose-dependent
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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
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Summary Childhood myopia is rising globally, with onset occurring at progressively younger ages. Early-onset myopia is associated with higher refractive errors and an increased lifetime risk of
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Lahlali, M., Berbiche, N. and El Alami, J. (2021), How Enterprise must be Prepared to be “AI First”? A pragmatic approach for AI adoption, International Journal of Advanced Computer Science and Applications
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using research methods or other approaches relevant to the subject domain A comprehensive and articulate personal statement A demonstrable interest in the research area associated with the studentship
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already hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award of an MRes or doctoral degree are NOT eligible to apply for funding. Applicants who hold
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, textiles & technology: Mapping the UK fashion, textiles and technology ecosystem. Available at: https://ualresearchonline.arts.ac.uk/id/eprint/17172/1/BFTT_Mapping-the-UK-Fashion-Textiles-and-Technology