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Field
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circumstances for academic career development in research and teaching in financial mathematics and related areas such as stochastic control and stochastic analysis. We have a very strong tradition in
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methods for stochastic, distributionally robust, and mixed-integer nonlinear optimization problems. The successful candidate will conduct research at the intersection of stochastic programming
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 2 hours ago
Stochastic Optimal Control”. Background or expertise in one or more of the following areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of
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Mathjobs.org | 26 days ago
. · Probabilistic modeling and statistical AI: probabilistic machine learning, Bayesian methods, uncertainty quantification, stochastic modeling, and statistical learning. · Optimization for AI: mathematical
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. · Probabilistic modeling and statistical AI: probabilistic machine learning, Bayesian methods, uncertainty quantification, stochastic modeling, and statistical learning. · Optimization for AI: mathematical
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investigate a new class of spintronic pseudo-qubits (p-qubits) based on spin-orbit torque magnetic tunnel junctions (SOT-MTJs). The project explores whether engineered stochastic spintronic devices can
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welcome but is not required. Relevant areas may include, but are not limited to, probability and stochastic analysis, optimization and operations research, statistics, dynamical systems and control
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classical stochastic accumulation. The position will be jointly mentored by Dr. Tim Pleskac and Dr. Jerome Busemeyer, with the postdoc taking a leading role in theory development, computational modeling
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-oriented problems involving optimization, artificial intelligence, workflow redesign, and stochastic assembly line balancing. The position will involve close collaboration with industry partners
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, reliability, and equity, while accounting for dynamic and stochastic demand patterns. The project addresses these challenges through a combination of advanced optimization methods (e.g., flow-based