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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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significant additional guidance by Assoc. Prof. Carlo Bortolotti at UNIMORE (https://personale.unimore.it/Rubrica/dettaglio/cabortol ). If you are passionate about advancing the field of organic bioelectronics
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doctoral degree – such as taking statutory leave – then these may be taken into consideration. You can have both qualitative and quantitative methodological orientation. Subject-wise, you can have a