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, and AI capabilities across the environment. This position requires deep expertise in Microsoft 365 administration, Microsoft Copilot, Microsoft Purview, Microsoft Defender, Entra ID, and M365 reporting
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learning and deep learning models for renewable energy forecasting, particularly wind power generation. Working with data-driven weather prediction models and high-resolution meteorological datasets
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filled. Position description The department of Middle Eastern Languages and Cultures at the University of California, Berkeley, invites application for a pool of qualified temporary lecturers to teach
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of Artificial intelligence for De-Novo molecular design Machine learning/Neuronal networks to develop novel drug discovery tools Molecular modeling and simulation Theoretical biophysical medicinal chemistry Deep
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Machine Learning & AI Spring semester: (beginning of January through mid-May) Python Programming for Data Science General Linear Models Deep Learning & AI The Tutor role will include the following
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advancement of the research of deep neural networks, in the field of adaptive processing of graph data (Deep Graph Learning). The project includes the following strongly interconnected fundamental research
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deliverables. This position requires a deep commitment to advancing housing stability and equity for young people through evidence-based and community-informed research. The Research Project Coordinator II
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
Deep Learning), successful experimental collaboration experiences and excellent communication skills are preferred. Create a Job Match for Similar Jobs About The University of North Carolina at Chapel
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architectures for TTS and ASR Entrenamiento de modelos a gran escala utilizando frameworks modernos de deep learning / Training large-scale models using modern deep learning frameworks Publicaciones en
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, KELIM score), mutational profiles, histopathological information, and long-term survival outcomes. The first objective is to implement automated deep-learning–based segmentation of primary ovarian tumors