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date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in
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. Solid background in one or more of the following: ● Query processing or optimization ● Constrained or combinatorial query evaluation ● Data modeling under uncertainty or imprecision ● Design and
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of a research program exploring the mathematical foundations of quantum information, with particular interest in topological, combinatorial, and optimization-based methods. Candidates with expertise in
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global supply chain logistics. While ML has the potential to transform both applied large-scale optimization and theoretical combinatorial optimization, algorithmic reasoning remains a significant
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network