97 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions at Ulster University
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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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biological samples for markers of inflammation. Statistical analysis of large data sets along with report writing will be integral to its success. Essential criteria Applicants should hold, or expect to obtain
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. These benchmarks will help build confidence in the technology and support its adoption. The research will focus on: Pre-treatment and characterisation of the electrolysis process from FVW Modelling the entire green
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Apply and key information This project is funded by: StimOxyGen Ltd. Department for the Economy (DfE) Summary Hypoxia in solid tumours presents a significant barrier to effective treatment [1
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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
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Summary Research Context Positioned within Ulster University’s School of Computing, this research theme focuses on the development of secure, transparent, and ethical artificial intelligence
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Summary This project is part of the NILab Programme . Milk production is a key indicator of profitability and animal health in dairy farming. It reflects the cow’s physiological status and responds
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at Ulster University as a unique interdisciplinary environment including both health data science and nutrition. Essential criteria Applicants should hold, or expect to obtain, a First or Upper Second Class
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Sustainable development, emerging artificial intelligence systems and the need for different skills
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to accelerate the growth of existing neoplastic lesions (Mason 2009). These complexities highlight the need for sophisticated interdisciplinary approaches. This research programme will integrate artificial