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) section. The role involves working 50/50 across two projects: the NIHR funded Target Trials in Mental Health programme and Eli Lilly funded “Advancing the Methodologies Used to Incorporate Non-randomised
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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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Location: Leeds - Main Campus Contract type: Fixed term (until 30th June 2028 to complete a specific task or time limited work) This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working...
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at early career academics who would benefit from a structured development programme and provision of both formal and ‘on the job’ training. The posts are also open to those who are returning to academia
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the Faculty to build their computational skills. As Senior Bioinformatician, you will be responsible for maintaining reproducible, scalable workflows and for liaising with wet-lab scientists, statisticians and
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at The University of Manchester. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting
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the Department of Inflammation and Ageing at the University of Birmingham. The successful candidate will work to deliver high level computational analysis of immune cell subsets in patients with cutaneous lupus
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2026. The Nevile Fellowship Endowed through the generosity of Trinity College, Cambridge, will be in one of the following subject areas: Pure Mathematics, Applied Mathematics, Computer
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The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable Low
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and