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focus on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has
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group focus on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has
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transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 1 month 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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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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of this position is to ensure that the Cleanroom & Nanofabrication Facility operates efficiently while maintaining the highest standards to optimize the research productivity and educational opportunities for BC
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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
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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