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Mathjobs.org | about 1 month ago
and quantum approaches to combinatorial optimization. The postdoctoral researcher will work primarily on quantum algorithms, classical simulation, and computational benchmarking. Applicants should
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and quantum approaches to combinatorial optimization. The postdoctoral researcher will work primarily on quantum algorithms, classical simulation, and computational benchmarking. Applicants should
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uncertainty, including integer and combinatorial optimization, stochastic and robust optimization, dynamic programming, large-scale optimization, and simulation-based optimization; and/or Expertise 2
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, optimization under decision-dependent uncertainty, convex optimization, and combinatorial optimization. The postdoctoral researcher will have the opportunity to develop new mathematical models
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demand, lead times and supply; large-scale combinatorial optimization; predictive and prescriptive analytics; integration of machine learning with optimization; simulation and digital-twin approaches for
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, combinatorial optimization or Bayesian network analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical
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other electrical measurements, that complement combinatorial structural (XRD) and compositional (XRF) data. This position offers an opportunity to develop and deploy new approaches in AI-driven
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‑processing enzyme design. In each of these, the underlying challenges are hard computational problems, such as combinatorial optimization, sampling, and molecular simulation. The domain expertise is
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combinatorial optimization, sampling, and molecular simulation. The domain expertise is provided through collaboration with partners in life science and materials groups, so no prior experience in the life