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interventions for frailty, the development and delivery of a bespoke intervention designed for South Asian communities. The research will use a mixed methods approach to this feasibility study including
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conditions (MLTC) by adopting a bio-psychosocial design. We will design, evaluate, and implement a personalised multisectoral intervention called CO-ACTION employing diverse research methods and approaches
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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
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candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
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with the needs of the research community. Applicants must hold a PhD or equivalent professional qualifications in a STEM subject, or have extensive experience working in a laboratory or research data
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. You will hold a PhD or equivalent professional qualifications and experience in aeronautical or mechanical or software engineering, physics, or in computer science/numerical analysis. About the
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for publication, developing new research ideas, and collaborating with partners across Europe. Standard DBS Clearance will be required for this role. You will have a relevant PhD or equivalent research-related
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with internal and external stakeholders to deliver engaging life cycle events Monitor budgets and contribute to strategic planning and resource forecasting Handle formal complaints and appeals with
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requirement. Good administrative and digital skills are essential. You will be part of the project team led by the PI, working closely with the other project Research Fellows, as well as the project PhD
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students. All cohorts have now been recruited and are in the delivery phase of their PhDs until 2027. PhD projects are AI-focussed with a mix of hardware and software, focussing on the areas of Agent-based