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Numerical Methods for Functional Calculus Appl Deadline: 2026/05/01 04:59 AM UnitedKingdomTime (posted 2026/03/12 04:00 AM UnitedKingdomTime, listed until 2026/05/01 04:59 AM UnitedKingdomTime) Position
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Numerical Simulation of Concrete Fracture under Extreme Conditions using Phase-Field Methods School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr G Torelli
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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Numerical relativity, machine learning Where to apply
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modeling and skilled in numerical simulations, will design a mesoscopic radiative model aimed at overcoming the CFL constraint and exploring machine learning methods and neural operators to address
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solutions in coral reef and saltmarsh environments using the numerical modelling system SCHISM. Key words: numerical modelling, numerical methods, nature-based solutions, saltmarsh, coral reefs. Research
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/Qualifications Strong knowledge of mathematical modeling and numerical methods Experience in computational fluid dynamics and pipeline transport modeling Proficiency in programming and scientific computing (e.g
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des carbures et/ou des oxydes aux PPBs. Numerical Study of the Effect of Pulsed Currents in SPS Sintering on Contaminants at Prior Particle Boundaries (PPBs) The project focuses on the use of powder
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of sound propagation in seawater in relation to climate change will be considered. As part of the institutional activities of OGS, it is planned to use the method of numerical simulation of the generation
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mechanics, FEA modeling, and integrity assessment of pipelines under environmental loads Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Numerical simulation of pipeline stress