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Offer: PhD Studentship - Application of artificial intelligence to identify risk patterns and potent:Job description:Qualification Type: PhD Award summary 100% of home tuition fees paid and annual living expenses at UKRI rate, currently £19,237 per year. prosperous international candidates will be required to fund the difference between the home fees and international fees. This interdisciplinary position is funded through National Institute for Health and Care Research (NIHR) Patient Safety Research Collaborative (PSRC) in Newcastle. Its key aim is delivering real, significant improvements to safety for patients with Multiple Long-Term Conditions (MLTCs). https://www.newcastle-hospitals.nhs.uk/news/5-3million-investment-for-patie nt-safety-research/ Overview The Newcastle NIHR PSRC is a partnership between three universities (Newcastle, Northumbria, and Queen Mary, London) and Newcastle Hospitals NHS Foundation Trust. Post-graduate students will join a vibrant team of Newcastle-located researchers within the PSRC. The PSRC includes four research themes and a patient and public involvement programme. This PhD project will sit within the theme of: » Artificial intelligence and data science in MLTCs Our research theme embraces the exceptional capacity of Machine Learning (ML) to identify patterns in vast collections of electronic health records and imaging data (http://ai-multiply.co.uk/). We aim to discern risk patterns at both population and individual patient levels, enabling earlier intervention. Exploring the trajectories and care pathways of MLTCs in the ophthalmology service will be core to this PhD. There will be important opportunities to collaborate cross theme and benefit from a dedicated post-graduate training program, providing unparalleled opportunities for post-graduate training and interdisciplinary working. Number of awards : 1 Start date: Sept 2024 Award duration: 3 years Application closing date: 28th May 2024 Sponsor National Institute for Health and Care Research (NIHR), NuTH and Newcastle University Name of managers The principal managers will include: Dr Will Innes - Staff_profile, link_to_Octahedron_Project_Team Professor Nick Reynolds - Staff_Profile Professor Mike Barnes - https://www.qmul.ac.uk/whri/people/academic-staff/items/barnesmichael.html It is likely that other academic and clinical colleagues from our broader themes will be involved in supervision: Safer management of polypharmacy in MLTCs Safer integrated health and social care environments Safer management of MLTCs in underprivileged communities Eligibility Criteria We are seeking for a candidate with: » an MSc in computer science or a related field » a creative and independent mindset » strong Python programming expertise » previous practice working with image data » practice working with big databases » a university-level knowledge of machine learning » Strong analytical and problem-solving expertise » fluency in written and spoken English » availability to work collaboratively with other researchers The following are not required, but would be regarded as extremely advantageous: » real-world practice with ML and data processing systems (eg. internship, entrepreneurial practice) » practice with responsible ML (eg. fairness, GDPR) » open-source project contributions How to apply Please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=ph050 for application information. Contact Details Nick.reynolds@ncl.ac.uk m.r.barnes@qmul.ac.uk Skills:
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