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on individualised data; (2) to speed up FE model computation through machine learning prediction, in order to make it usable in clinical routine; (3) to conduct experimental validation of FE prediction results, in
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informing users and the network of new settings. The goal is to define an adaptive multicast framework leveraging error correction and machine learning to optimize parameters in real time [8]. 1.2. Scientific
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climatic conditions, using machine learning approaches based on isotopic data. SSIAs for δ13C, δ15N and δ34S in dentin collagen and δ66Zn in enamel to reconstruct the evolution of seasonal habitats and the
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biologists, physicists and computer scientists. Your second base will be Alphée Michelot's group at the Mechanobiology Institute of Singapore (MBI) to achieve objective 3. The Michelot group is an expert in
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strong interest in computer science (software development, machine learning techniques, etc.) is desirable. · Applicants must have a maximum of 3 years of research experience after the PhD. · Language
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. T. (2022). Quantitative brain morphometry of portable low-field-strength MRI using super-resolution machine learning. Radiology, 306(3), e220522. [Winter2024] Winter, L., Periquito, J., Kolbitsch, C
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Technologies du Langage) department. This team specializes in machine learning methods applied to language processing and has extensive experience and international recognition in speech technologies. Where
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intelligent, multi-criteria dashboard leveraging machine learning, designed to enhance preventive and human-centered QVCT management. Where to apply Website https://institutminestelecom.recruitee.com/l/en/o
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Background in computational neuroscience Knowledge of machine learning Basic understanding of neuroscience Experience with numerical simulations Where to apply E-mail srdjan.ostojic@ens.psl.eu Requirements
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interdisciplinarity, blending machine learning, computational creativity, and musicology. It bridges AI methods—like generative models—with musical structure, theory, and cultural contexts, emphasizing data-efficient