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that demonstrate novel theories and demonstrate results that validate hypotheses. About You We are interested in candidates with a strong academic background in mathematics, with some evidence of basic programming
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computer science, mathematics, statistics and/or probability theory. Support teaching at postgraduate level online. Moreover, you will: Have a good first degree or masters in a discipline relevant to computer
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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent
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About the Role The position is funded through the EPSRC project “Zeros, Algorithms, and Correlation for graph polynomials”. We study various combinatorially defined polynomials such as the
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computer science, mathematics, statistics and/or probability theory. Support teaching at postgraduate level online. Moreover, you will: Have a good first degree or masters in a discipline relevant to computer
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, lost/cost functions, stochastics, computational complexity, logic, graph theory or other areas closely related to it Proven expertise in techniques for descriptive statistics, vectors & matrices and
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from all backgrounds to join our community. The Department of Mathematics and Systems Analysis at the School of Science is an international highly regarded academic community of more than 100 employees
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, https://epubs.siam.org/doi/abs/10.1137/1.9781611977554.ch22 Ramsey Theory and Graph Packing. Another example of the interplay between algorithms and combinatorics arises in the context of graph packing