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This role builds on a newly funded NIHR research (NIHR305518, PI: Dr Valeria Parlatini) aiming at testing a new method to select ADHD medication based on pre-treatment clinical, cognitive and
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Lead research projects focused on understanding and redesigning enzymes using a combination of structural and computational approaches. Deliver high-quality structural biology, applying advanced methods
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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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. 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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well as diagnostics such as force balances that can be used within it. You will work under the supervision of Prof. Bharathram Ganapathisubramani, collaborating with PhD students and other postdoctoral researchers
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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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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