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at combating implant-associated infections. Expected start date for the role is 1st February 2026 Role Summary The PhD student will be involved in Work Package 1 (WP1) of the SHEILD network “Clinical aspects
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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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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new method to select ADHD medication based on pre-treatment clinical, cognitive and physiological characteristics in adults and children with ADHD. The successful candidate will be leading in
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to industrial partners and members of NBIC both in the form of formal written reports and oral presentation; (v) support NBIC training activities and the supervision of postgraduate researchers and visitors
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activities of HLTH Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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of designing or conducting research and research methods. D5 Research experience Dimensions The Multimorbidity PhD Programme for Health Professionals is designed to: Recruit and retain the best aspiring
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. Successful applicants are normally expected to be within 8 years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed