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The University of North Carolina at Asheville | Asheville, North Carolina | United States | 6 days ago
student‑centered teaching, our deep commitment to undergraduate research and creative inquiry, and our emphasis on interdisciplinary learning. As a community, we strive to cultivate an environment where
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biologically-inspired deep learning and AI models (NeuroAI). The computational models we work with include vision deep learning models (including topographical, recurrent, or developmentally inspired models
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in legal education and scholarship with a deep commitment to justice. Here at Harvard Law School (HLS), you’ll find an environment that values who you are and encourages you to grow, inspire others
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PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis for synthesis. A doctoral position is
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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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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is
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, and clinical care since 1927. Located 20 minutes south of downtown Chicago, our Hyde Park main campus provides a single environment for learning, world-renowned basic science and clinical research, and
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Macomb Community College teaching Faculty demonstrate deep subject matter knowledge and provide effective instruction to students using various modalities including, but not limited to, on campus, online
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integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and functional outcomes in