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mathematics, including medicine (STEM). Through the AI4X-PDF, we seek to nurture the next generation of research leaders working at the intersection of AI and STEM, driving innovation and strengthening
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, group theory, and/or graph theory will be necessary. Experience in modelling biological processes, and in algorithm development or computation will also be valuable. Proven commitment to proactively
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Participate in seminars, workshops, and conferences related to combinatorics and graph theory The successful candidate will hold a PhD in Mathematics or a closely related discipline, with a strong background in
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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal
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for up to 24 months. Successful applicants should be in post by September 2026. About you Applicants will need a PhD degree in Mathematics or similar subject, and knowledge of probability theory, as
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine