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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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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
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research covers a wide range of topics from radiobiology, radiation physics and space research to radiation therapy. The radiobiologic modelling group focuses on developing strategies and mathematical models
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systems, or continuous-time and discrete-time LTI systems theory is a plus. Experience with mathematical modeling, optimization, numerical computation, algorithm development, or machine learning. Prior
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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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results, numerical modelling, and analytical approaches to support the development of respective reliable and efficient design concepts. Led by Prof. Christoph Odenbreit, the ArcelorMittal Chair of Steel
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interest in cell and developmental biology of plants; Experience in (numerical) mathematical modeling (e.g., vertex-based or Cellular Potts modeling, particle-based simulations, PDEs, FBA); Suitable
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resistance of ceramic shell moulds used in investment casting. Advanced in situ experiments combined with multi-scale Finite Element Method (FEM) modelling will be employed to identify the key stress and
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will be combined with theoretical modelling, statistical data analysis, and numerical simulations to identify the governing mechanisms and to determine whether and how proximity to a phase transition
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made large-scale models available to the public, which enables the integration of AI in everyday objects and tasks. As a result, the model scale is doubling yearly, causing a proportional increase in the