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: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering
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. Experience of designing and carrying out empirical research with practitioners and/or victims. Flexible working We are open to discussions about flexible working. Whether it’s a part time, compressed hours
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, imaging techniques and bioinformatic analysis of microscopy images, RNAseq data and/or spatial transcriptomics. Experience with confocal imaging, human fetal cortex tissue, RNAseq and image analysis are all
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applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to describe and quantify the spatial characteristics and cellular interactions associated with colorectal response
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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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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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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, Nature Energy 2024] to image operating perovskite solar PV cells with high spatial (hundreds of nanometers) and temporal (hundreds of picoseconds) resolution. This project will push these capabilities
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access to data from AIMS-2-TRIALS, the world’s largest multimodal, longitudinal autism study; the South African BONO cohort, and the SLAM Image Bank, one of the world’s largest, real-world imaging/clinical