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on the development, theoretical analysis, and optimal implementation of numerical methods for systems governed by multiphysics and multiscale differential models, including the use of parallel computing architectures
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
background in theoretical and computational physics, with demonstrated ability to transition methods (e.g., machine learning, numerical optimization) across research domains. PREFERRED: Experience with quantum
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Faculty/Department-Level Unit: Ng Hui Khoon Group Employee Category: Contingent Location_ONB: Kent Ridge Campus Posting Start Date: 03/08/2026 Job Description To build a numerical simulator for the Bicycle
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additive manufacturing. The role will focus on thermal field modelling, multi-physics numerical simulations, machine learning and process parameter optimization. We expect the candidate to use data-efficient
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journals and presentations at conferences. - Collaboration with interdisciplinary research teams as part of the CERTAINTY project. - Optimization and documentation of modeling configurations for future
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Are you fascinated by application-oriented research in mathematics and eager to work at the interface of numerical optimization, optical design, and uncertainty quantification? In this PhD project
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postdoc, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work tasks
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, nonlinear optics, and the design, alignment, and optimization of optical setups. ● Experience with atomic force microscopy (AFM)-based infrared/vibrational spectroscopy or related nanoscale spectroscopy
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www.xjtlu.edu.cn. ABOUT THE DEPARTMENT OF APPLIED MATHEMATICS The Department of Applied Mathematics comprises academic staff with active research in analysis of differential equations, numerical analysis and
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them as programmable resources for encoding, transporting and processing quantum informa- tion. AI is employed not merely as a numerical optimizer, but as a framework for discovering control protocols