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for Multiscale Offshore Structures), which develops integrated AI methods for the analysis, design, monitoring, and control of floating offshore systems. Multi-modular floating structures are emerging as a
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will be the Head of Department. About the project This PhD position is part of the WP4 Digital twin and asset management concerning multiscale wind simulation that involves modelling wind flow across
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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. To fill-in this gap, you will use hierarchical molecular simulations to produce high quality thermodynamic, transport, and kinetic data that can be used for multiscale model development. We will focus both
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POSTDOCTORAL SCHOLAR Requisition # 3228 Position Basics Advertising Ends on:Extended Until Position is Filled Advertising Started on:Friday, December 13th, 2019 College:Carver College of Medicine
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multiscale computational models that connect component-scale loading conditions with grain-scale degradation processes in polycrystalline metallic alloys. Particular emphasis is placed on understanding
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existing models struggle to capture this complex, multiscale phenomenon efficiently. This project will develop a novel, physics-informed surrogate model using Bayesian machine learning to predict gas
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, or epidemiology., etc) from an accredited institution, with postdoctoral research experience preferred; At least 3 years of hands-on experience in conducting clinical trials as a study leader or senior clinical
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software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing using clusters like UPPMAX and GPUs for high-performance computing and parallel
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of machine learning and clinical oncology, with access to a large multimodal research dataset, substantial GPU resources, and a collaborative scientific environment. Your tasks Design and implement LLM-based