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University Seattle campus. Course topics include High-performance Computing, VLSI Design, Advanced Machine, Learning Combinatorial Optimization and Statistical Inference. Responsibilities include preparation
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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
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optimization, including integer, nonlinear, and combinatorial optimization; global and non-convex optimization; machine learning for optimization; explainable artificial intelligence; heuristic and metaheuristic
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remodeling and conformational engineering De novo and semi-rational enzyme design Directed evolution theory and workflow development Library design strategies (focused, combinatorial, and machine-learning
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of metabolism and methyltransferases in ovarian cancer metastasis, evaluate combinatorial therapeutics as ovarian cancer therapeutics, and examine the role of epithelial and stromal proteins and pathways in
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algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer
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Computational Mathematics, Number Theory, Combinatorial Matrix Theory, Stochastic Differential Equations and Stochastic Processes, Partial Differential Equations and Industrial Mathematics, Topology and Dynamical
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
to the rapid exploration of novel materials chemistries—such as compositionally complex energy materials—using high-throughput, combinatorial synthesis strategies. The position involves working
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
transdisciplinary research interests in: 1. Modern and future Computing systems, including photonic and quantum computing, analog neuromorphic computing, combinatorial algorithms, and continuous optimization. 2
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NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form