15 proof-checking-postdoc-computer-science-logic Fellowship positions at King's College London
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following skills and experience: Essential criteria PhD in a relevant field, such as digital health, engineering, computer science, or population health, health services research Advanced knowledge of digital
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building
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in Dermatology and Population Health Sciences at King's College London. The A-STAR register is open at 65 sites across the UK and Ireland. A-STAR also has an embedded bioresource. About the role
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, engineering, psychology/HCI, computer science, or related discipline). For the appointment as the Research Fellow, a PhD degree is essential. Demonstrable experience coordinating complex projects or programmes
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brain tumour patients, through to basic science, such as live human brain tissue to study brain tumours. The Fellow will gain expertise in all aspects of the diagnosis and management of neuro-oncology
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and diagnostic applications, including clinical translation to benefit patients. The Programme is mainly hosted by the Research Department of Imaging Chemistry and Biology within the School
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Job id: 137725. Salary: £53,947 - £63,350 per annum, including London Weighting Allowance. Posted: 06 February 2026. Closing date: 22 February 2026. Business unit: Social Science & Public Policy
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& Neurodevelopmental Sciences. Contact details:Mrs Harriet Meteyard. harriet.meteyard@kcl.ac.uk Location: Denmark Hill Campus. Category: Research. About us The Department of Forensic and Neurodevelopmental Sciences
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. Fellowships provide a competitive salary and up to £30,000 in research expenses for 18–24 months, enabling fellows to establish a distinctive research programme and prepare competitive applications
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD