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analysis of PDEs (with deterministic and/or stochastic methods), Gaussian Random Fields, mathematical foundations of deep learning, functional analysis and measure theory. You can find more information about
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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well as omics data generation and analysis will be considered as important assets Strong drive for experimental work, including the handling of model organisms, and a high curiosity to decipher disease mechanisms
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of Measure Theory and Functional Analysis is appreciated. Submission Documents (to be sent via email to amedeo.esposito@oist.jp) Cover letter (English) Curriculum vitae (English) Research Statement (English
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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and establishing priorities. Knowledge – Skills – Abilities Required knowledge: biology, chemistry, mathematics, statistics, documentation, records management, data analysis and utilization, complex
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education in research specialization with advanced knowledge of equipment, procedures and analysis methods. Strong background in computer programming, mathematical modeling is required. Preferred Education
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of information processing), and formal epistemology (in particular, formal representations of inattentiveness and unawareness). This project will involve philosophical / linguistic analysis, experiments with human
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The Role Applications are invited for a three-year postdoctoral position within the Applied Mathematics research group, to start in July 2025. The position is funded by a UKRI/STFC grant to