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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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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
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to help monitor and combat online social influence and promote a healthy information environment. The successful candidate will join the School of Computing and Mathematical Sciences as part of a project
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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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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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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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combinatorics, Analysis of boolean functions Elon Lindenstrauss Homogeneous dynamics, ergodic theory, number theory, additive combinatorics Nathan Linial Combinatorics and theoretical computer science Cy Maor
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of mathematical analysis and complex systems, focusing on cutting-edge problems in the dynamics of strongly interacting systems. The role is ideally suited for researchers with expertise in one or more of the
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Transitions). The Postdoctoral Researcher will be part of a cross-disciplinary research team including members of the Applied Mathematics Group of the School of Mathematical Sciences and the School
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such as mathematical physics, by the time of hire is required, along with a strong background in complex analysis of several variables, elliptic PDEs, and asymptotic analysis. Excellent verbal and