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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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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 30 days ago
. The PhD project combines direct numerical simulations of turbulent flows, nonlinear dynamics, and modern approaches to flow control. Thermal convection and related turbulent flow systems will serve as key
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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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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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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 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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capability. Comprehensive education: Enjoy numerous opportunities for scientific training, skills development and problem solving. Diverse research areas: Work on numerical models, analyzing large data sets
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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
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meet the requirements for admission to the Faculty's Doctoral Programme . Experience with optimization modelling and numerical optimization tools, such as JuMP, Pyomo, Gurobi, CPLEX, HiGHS, or similar
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interpretable framework for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured
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doctorate, contains: Artificial Neural Networks and Large Language Models offer state-of-the-art performance at numerous AI tasks, but being black boxes, they lack explainability which makes them difficult