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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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a number of health and wellbeing initiatives to support you. Closing Date: 30 July 2025 As part of the SAFELUX project, we are leading a transnational programme of research funded by the Conference
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-diseases/ . This is an exciting opportunity to collaborate with computational and wet-lab scientists at the forefront of pioneering research. You will be responsible for designing and implementing proteomic
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the development of research and innovation funding applications. For more information about the Urban Sciences Building, please click here For more information about the School of Computing and our research, please
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-workers working on related projects • Be willing to learn new techniques and apply them in an interdisciplinary research environment in an autonomous manner • Be able to work as part of a team and
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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power