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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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equivalent qualification with one to two years of advanced research experience in generative AI, visual computing and deep learning, and must have no more than five years of post-qualification experience
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, functional validation, and mechanistic studies of leukemia development, clonal evolution, and treatment response. Contribute to the development of analytical frameworks for translational cancer research
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-Talisman Lab, please click here . As a successful candidate, you will: Purify EVs from cultured cells and plasma using different analytical platforms. Perform imaging experiments using super-resolution
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, or related disciplines Strong Analytical Skills and ability to interpret research data and findings Expertise in machine learning, building system architecture, software engineering, and the use
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evidence. Six case study landscapes across Ireland form the core analytical framework, each illuminating different demographic, environmental, social, and religious impacts of the Famine. The successful
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individuals with research interests in optimization, evolutionary computation, and machine learning. Initial appointments are for one year. Required Department Minimum Qualifications: Ph.D. or terminal degree
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Posting Start Date: 16/04/2026 Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our
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, focusing on the development and application of data analytics methods to process multimodal data to provide clinically useful insights into bipolar disorders. This is part of the £3m 5-year Wellcome Trust
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ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive