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methods to explore the design, impact, and public support for equivalent healthy and planet-friendly food marketing policies in the UK. The successful applicant will undertake research using qualitative and
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a focus on Physical Activity and Health related content. You may also teach more broadly exercise physiology, sport and exercise psychology, and/or research methods. You will have a PhD in a related
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power systems, network analysis and power flow; - Experience or academic background in machine learning, Graph Neural Networks (GNN)/Grid Foundation Models and/or probabilistic methods and Monte Carlo
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: Fixed Term Contract up to July 2028 Background This multidisciplinary project is based on a multi-method design, focusing on the experiences of children, adolescents and their immediate caregivers who
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these methods to address challenges in scientific discovery and precision medicine. We seek highly motivated applicants with a background in one or more of the following areas: agentic AI, geometric deep learning
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high-ranking journals and university presses Strong command of qualitative and/or quantitative comparative methods Field work experience in the MENA Fluency in English Fluency in at least one language of
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.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g., MatLab, Python, Modelica, C, ForTran, etc. We
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strategic interaction. The project will use EEG and hyperscanning methods alongside behavioural and naturalistic measures of social interaction. The Research Fellow will support the development and piloting
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with both academic and industrial partners, and the doctoral candidate must participate in these activities. Methods will include synthetic medicinal chemistry, chromatography, spectroscopic and
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Education. Proficiency with mixed-method research approaches, including both quantitative and qualitative methodologies. Responsibilities: Coordinate the research team in data collection, analysis, and the