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Research Fellow (qualitative methods) to join the Discovering Liveability: Co-producing alternatives to suicide prevention project, contributing to innovative suicide research that centres
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Supervised Machine Learning and Reinforcement Learning. The objective is to significantly enhance battery performance and longevity. While conventional methods rely on either physics-based models or high-level
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currently exists to map and explain the diverse mechanisms of housing exclusion. Addressing this gap requires integrating geospatial analysis, explainable AI (XAI), and behavioural research methods, including
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. Description of Duties Grade 7 Assist on new and innovative optical remote sensing methods and applications for monitoring and managing aquatic environments under study, the Mekong river delta and the Forth
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. This is an excellent opportunity to be part of an interdisciplinary and international research collaboration, spanning health policy, economics, medicine, and public health. Candidates should have a PhD (or
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applying appropriate and innovative health economics research methods to evaluate health, social care and population health interventions and policies with a particular focus on national upscaling and
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research associates and PhD students. You will also engage directly with numerous external stakeholders (industry and academia), which will form part of your research network and give you opportunities
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in Community Connectedness. This position will play a key role in developing the data, methods and evidence on community participation in the UK, working across the Centre’s activities. The Centre’s
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complex health and social care challenges, particularly in the management of long-term conditions. We combine AI and traditional epidemiology with qualitative methods to develop impactful, real-world
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contract initially for 18 months, extendable up to 3 years contingent upon successfully meeting project milestones. What you should have: • PhD (or nearing completion) or equivalent industry experience in