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be generated during the project. The candidate must have completed (or be near completion) a PhD/DPhil in Neuroscience/Biochemistry or relevant discipline and have excellent previous laboratory
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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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University of Oxford (https://www.expmedndm.ox.ac.uk/mmm). You will be joining a highly interdisciplinary team of approximately 40 clinicians, computational biologists, statisticians, software engineers 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
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/week for a full-time post. You will directly develop statistical analysis plans and run analyses, applying a broad range of statistical methods to analyse experimental studies, cohort studies, randomised
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at developing principled and practical methods which could be used in real systems. This research requires coping with challenges such as intractable probabilistic inference and robustness. The project will
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educational assessment. Additional teaching and supervision will be expected on other programmes offered by the department, particularly the MSc Education (Research Design and Method). The successful applicant