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We are recruiting a Health Services Researcher (Mixed Methods) who will play a key role in contributing to important projects focused on health inequalities within maternal and neonatal care. Your
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close to the completion of a relevant PhD/DPhil in statistical genetics or related field. A proven track record of method development in statistical genetic and the ability to manage your own academic
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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understanding under challenging conditions. The work spans core methods, research and system-level deployment, with application domains including logistics, agriculture, social care, and inspection. About You You
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include research experience in maternal, perinatal, or paediatric fields, proficiency in other statistical software like R, and holding or nearing completion of a DPhil/PhD. Applications for flexible
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microscopy and bioimaging methods to understand dynamic cellular aspects of ciliary dynein assembly. You should hold, or be close to completion of, a PhD/DPhil in biochemistry, together with relevant
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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available data and apply causal inference methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease