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for multi-cloud systems. Knowledge of, and demonstrable experience in, secure data access in complex cloud architectures, knowledge graphs and semantic reasoning. Extensive knowledge and practical experience
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candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or Information Science, with no more than five years post receipt of the PhD
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, Number Theory, Coding & Cryptography, Graph Theory & Combinatorics, Statistics, Artificial Intelligence, Computational & Applied Mathematics, Dynamical Systems & Mathematical Biology. It hosts the Key
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and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Candidates in ABD (all but degree) status will also be considered
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Equations, Dynamical Systems, Combinatorics and Graph Theory, Biomathematics, Probability Theory and Mathematical Statistics, etc. l computational mathematics, including Numerical Approximation and
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Multi-modal Machine Learning—including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
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. Network Science. Cambridge University Press. 2016. http://networksciencebook.com/ Wu Z, Trevino AE, Wu E, et al. Graph deep learning for the characterization of tumour microenvironments from spatial protein