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Electrical Engineering or Physics or Materials Science. Experience on numerically modeling light-matter interactions, designing photonic devices, and employing optimization approaches. Experience in project
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but not limited to: o Quantum error correction, fault tolerance, and resource optimization. o Entanglement dynamics, quantum control protocols, and hybrid quantum-classical algorithms. o Modeling and
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experimental facility and its effect on the performance of the system. 6. Test and validation of CNN to substitute to be employed combined with detailed numerical simulations. 7. Optimization of the geometry
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this mysterious transition. The current project aims to date the oldest ice in Antarctica using a combination of numerical modeling and geophysical observations. It will focus on two complementary ice archives
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previous work to channel flows, both with and without wall roughness. The research will focus on, firstly, optimal synchronisation of minimal unit turbulence (MUT), leveraging the simplified dynamics in MUT
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probability, stochastic modeling, scientific computing, mathematical optimization and control, numerical analysis, and relevant adjacent fields Appl Deadline: 2025/11/11 04:59 AM UnitedKingdomTime (posted 2025
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: Mathematics, Statistics, and Mathematics Education. The mathematics group includes both pure and applied mathematicians, with research areas ranging from mathematical biology, numerical PDEs, and optimization
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 29 days ago
process control requiring high-performance numerical tools for upstream optimization of the process PhD objectives: The CINDERELLA project aims to accelerate the mastery of the L-PBF process by considering
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full