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the following activities in conjunction with and under the guidance of the Principal/Co Investigator: 1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and
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, efficient machine learning. The project aims to theoretically understand why machine learning models perform well and/or design efficient and robust algorithms in trustworthy machine learning. The topics
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health in the first years of life. The research is funded by UK Research and Innovation through a fellowship award held by Dr Christine O'Farrelly. The overall programme of work addresses key research
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innovation, streamline research processes, and substantially boost the university's competitive edge in the academic and research fields by leveraging advanced AI solutions. Responsibilities KEY
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for lung cancer screening. The Research Assistant will be involved in research-related activities such as obtaining institutional review board approval, design of study materials, recruiting, monitoring, and
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impairments and language barriers. This innovation aims to maintain the cost advantage of digital survey technologies while significantly enhancing real-time, personalised supports through human-like
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particularly in the context of VAR. This project forms part of an exciting new research and innovation partnership between Manchester Metropolitan University and the Professional Game Match Officials Limited
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credit hours during the summer session(s)), or in the required number of semester credit hours to fulfill the only remaining requirements on the degree plan. Position Information Posting Number A1055
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Health Nutrition at the faculty of Health Sciences at OsloMet. The PhD candidate will also be part of the research group in machine learning at SimulaMet and the Faculty of Technology, Art and Design at
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This exciting fully funded PhD, with an enhanced stipend of £24,000 per annum, will focus on the application of nanobubbles to support waste management at the UKs designated nuclear waste management