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]. By combining simulations and experiments, comprehensive analysis of the process will be achieved and guidelines for optimization will be proposed. The analysis could then be extended to broader range
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months 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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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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and interdisciplinary environment. Does that sound like something for you? Apply to join our team! Where to apply Website https://iventajobdata.eu/bestmedia/img/2286665/1913265/cl/63215252539d661de3f4f
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, resilient networking and fault-tolerant systems (detection, isolation, recovery). Proficiency in Python for rapid prototyping, data analysis, and simulation (e.g., NetworkX, numerical optimization, agent
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the implementation of CCUS through process optimization, the development of LCA/TEA assessment tools, and technology deployment scenarios. https://unit.aist.go.jp/ccus/groups/cart.html# * details of the business
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modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent
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Areas: Financial Mathematics, Data Science, Optimization, Statistics Appl Deadline: (posted 2026/02/27 05:00 AM UnitedKingdomTime, listed until 2027/02/25 04:59 AM UnitedKingdomTime) Position Description
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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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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