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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed and stochastic numerical optimization paradigms
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/EXPERIENCE: Numerical machine leaning/Scientific Machine Learning are highly expected Preferred research directions: Numerical Optimization and Scientific Machine Learning. A PhD in Mathematics or Applied
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Description Mathematical modeling forms the basis for understanding, simulating, optimizing and controlling numerous scientific phenomenon and associated measurements. Mathematical models frequently take the
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RAP opportunity at National Institute of Standards and Technology NIST Applied Optimization and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
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simulation and optimization of PDE-based problems involving uncertainties or stochastic components. We are looking for an internationally recognized individual who is a leader in the field of Numerical
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optimization of technical processes and products. The efficient solution of large linear systems of equations is a key challenge in numerous scientific and industrial applications – from numerical simulations
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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(specifically PCECs). Proven experience in developing and validating numerical models (e.g., using COMSOL). Hands-on experience with programming for numerical optimization, machine learning, and data processing
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, China [map ] Subject Areas: Computational Mathematics, Applied Mathematics, Artificial Intelligence, Numerical Analysis, Optimization, Statistics Appl Deadline: none (posted 2024/08/02 05:00 AM