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, implement, and adapt existing self-supervised and multimodal learning methods for the automated extraction and discovery of image-derived phenotypes (IDPs) across large-scale population imaging datasets
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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computational methods, and inn collaboration with permanent academics, help to mentor students undertaking masters projects and internships in the research team. The post-holder will have the opportunity to teach
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. The group is well known for developing single-molecule and single-cell fluorescence methods (Uphoff PNAS 2013; Zagajewski, Nature Comm Biol 2023, Chatzimichail, Lab-on-a-chip 2024) and applying them
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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project led by Professor Kam Bhui and Dr Roisin Mooney in Oxford. The project investigates methods to improve postpartum outcomes of severe mental illnesses in ethnically diverse mothers (POSIE) with
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understanding of dark energy. Projects may span a broad range of topics, including improving Type Ia supernova modelling and standardization, developing and applying advanced data analysis and statistical methods
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of photocatalytic reactions, and its application on CO2 recycling and is funded by the European Commission. Find out more about the Stamatakis research and group here About you Applicants must hold a PhD in Chemistry
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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics
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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