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: Pharmaceutical Biophysics, Chemical Biology, Drug Delivery, Pharmacology and Therapeutics, and Clinical Practice and Medication Use. There is a vibrant PhD programme with more than 100 students, and a
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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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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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using a range of methods including cutting-edge single cell and imaging techniques. Ultimately this information will provide fundamental insights into human biology and may in the future lead to improved
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will analyse quantitative imaging data from a variety of sources, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms, for validation and calibration of mathematical models. You
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You will analyse quantitative imaging data from a variety of sources
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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, regenerative biology, or olfaction Interest in microbiome-host interactions Experience of molecular biology PhD in a relevant area Experience of imaging Team worker Desirable criteria Original research