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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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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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methods, numerical analysis for stochastic PDEs, numerical analysis for multiphysics problems that couple different types of PDEs for waves, heat, elasticity, flows, etc. The duties primarily involve
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(or traveling) waves - Functional minimization - Numerical discretization methods for PDEs - Numerical simulations of PDEs The application should include: - A detailed CV describing the candidate's academic and
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Estatal de Investigación Científica, Técnica y de Innovación para el período 2021-2023" with reference PID2023-146793OB-100. The Group of Numerical Methods in Engineering (GMNI) is developing a line of
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challenges. Firstly such process is of a multi-physics nature and requires coupling of different numerical methods: the deformation in SFCs is dominated by shear flows, and typically solved using fluid