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future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on
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appropriate training and professional growth. About the role We are delighted to invite applications for a PhD training fellowship at the Cicely Saunders Institute, King’s College London as part of an NIHR
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, conducting evaluations and contributing to new methods development. PDRF: Lead cost-effectiveness evaluations, develop de novo economic models and new methods. SRF: As above with significant leadership
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to understand the functional requirement for these pathways using a range of methods including cutting-edge single cell and imaging techniques. Ultimately this information will provide fundamental insights
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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qualification in health or social sciences or similar e.g. MSc or PhD Experience in methods of inclusive co-production Experience in engaging and working with patient and public involvement groups Publications
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manipulation techniques to construct deletion mutants in Kp, before characterising extracellular polysaccharides using biochemical methods. The candidate will further employ in vitro tissue culture systems, ex
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in neurodevelopment. This role will focus on data analysis and methods development to develop a better understanding of the mechanisms underpinning typical and altered neurodevelopment, brain structure
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in a STEM discipline Advanced financial management and analytical skills to underpin strategic