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Field
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doctorate, contains: As a predoctoral researcher you will conduct experimental and numerical research on the structural behaviour and design of light- and micro-profiled steel roof sheeting, with the primary
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the field of mathematical modelling and numerical methods for two-phase flow. You write and publish research articles, contribute to national and international conferences and build an international network
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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of numerical models to study acoustic and optical interactions in metasurfaces, using in-house codes and COMSOL Multiphysics software. 2. Geometry and Material Optimization: Systematic exploration of structural
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transport phenomena. Scientific Background Numerical simulation of turbulent flows always involves a trade-off between accuracy and computational cost. Depending on the objectives, different modeling
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catalysts can bridge fundamental insights obtained from flat model catalysts with advanced nanostructured electrodes engineered for real-world electrolyzers. This project combines deep dives into surface
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using a state-of-the-art numerical weather prediction model – the Met Office Unified Model – and in the use and analyses of the latest climate model output. Person Specification A degree in a quantitative
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
following qualifications and experience will be considered during candidate assessment: Experience in Machine Learning, Deep Learning, reduced-order models, or physics-informed models; Knowledge of numerical
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from flat model catalysts with advanced nanostructured electrodes engineered for real-world electrolyzers. This project combines deep dives into surface chemistry with engineering to produce a tangible
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more reliable designs. The student will use advanced numerical simulations at KU Leuven to model the impact of large waves on OFPV structures, capturing key processes such as wave breaking, overtopping