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, training deep learning models to adapt designs to boundary conditions, and integrating FEM workflows within parametric modeling environments like Grasshopper. The candidate will contribute to building a
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28th April 2025 Languages English English English Department of Sport and Social Sciences PhD position in the Philosophy of Sport Apply for this job See advertisement The Norwegian School of Sports
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we will apply state-of-the-art machine learning and deep learning techniques on open- access and collected datasets to determine how accurately these systems can identify dock plants under Norwegian
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. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks
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experiences and skills will be emphasized: Desired knowledge/experiences in: Working with diverse remote sensing data Data science topics particularly machine learning and deep learning. High Performance
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-optical frequency division scheme. The successful candidate requires a deep knowledge of optical microcomb and integrated photonis as well as strong grasp of RF technology and microwave oscillators