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Field
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successful candidate will work with Professor Helen Byrne at the Mathematical Institute, University of Oxford, and Professor Tim Elliott at the Oxford Centre for Immuno-oncology, with collaboration from Dr
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to complete a collaborative research project arising from the COMBAT cancer programme. The successful candidate will work with Professor Helen Byrne at the Mathematical Institute, University of Oxford, and
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Cancer Research UK strategic programme investigating how colorectal cancer responds to therapy through the integration of spatial biology, computational analysis and clinical research. Working across
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. Experience in quantum mechanics, light-matter interactions, structured/topological fields for both photons and spins/dipoles. Experience in the development of mathematical models for complex physical phenomena
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Location: Building for Genomic Medicine, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7BN Additional locations: The Mathematical Institute, Radcliffe Observatory Quarter, Woodstock Rd
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-delayed interactions. A major objective of this position is to develop and implement efficient numerical methods for increasingly large and complex systems of coupled nonlinear delay-differential equations
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part of the Faculty of Science and Engineering, which comprises five schools and two institutes. This position is based jointly in the Centre for Complex Systems and the Centre for Geometry, Analysis and
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part of the Faculty of Science and Engineering, which comprises five schools and two institutes. This position is based jointly in the Centre for Complex Systems and the Centre for Geometry, Analysis and
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
. Required Work and Related Experience: Good technical skills including at least several of the following: Algorithms, data analysis, graph, network, and complexity theory Scientific computing, statistics
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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes