157 assistant-professor-computer-science "https:" "https:" "https:" "https:" uni jobs at Ulster University
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intraoperative feedback on these risks. The project will combine biomedical engineering, signal processing, and clinical collaboration to design a non-invasive ultrasound monitoring system capable of quantifying
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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 or who are registered on a taught Master’s degree are eligible
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or undergraduate degree with a psychology component (e.g. health studies, sport and exercise science) Good interpersonal skills Experience of qualitative methods Experience of or interest in community projects
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reinforcement in both the site of the insertion of the tufting yarn and between the tufts, whereas z-pinning does this at the site of insertion. 3D wovens involve layering and interweaving fibres in a computer
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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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Positioned within Ulster University’s School of Computing, this research theme advances cutting edge artificial intelligence and Internet of Things (IoT) solutions for healthcare and wellbeing
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applicants from diverse academic and professional backgrounds, including (but not limited to): Film, Television, and Media Studies Artificial Intelligence and Computer Science Creative Arts and Practice-based
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Summary Applicants are invited to undertake a 3 year PhD program in partnership with a global leader in blood- and cell-based therapies (Terumo Blood and Cell Technologies Ltd). This opportunity
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programme of research leading to the award of an MRes or doctoral degree are NOT eligible to apply for funding. Applicants who hold or who are registered on a taught Master’s degree are eligible to apply
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Summary This research theme investigates how artificial intelligence, multimodal sensing, and spatial computing can be harnessed to improve early detection and monitoring of neurological and mental