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methodologies, including machine learning, deep learning, TinyML, federated learning, explainable AI (XAI), digital twins, and other emerging techniques relevant to the RGs. Support interdisciplinary research
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Job Description For over 160 years, the University of Washington has been a hub for learning, innovation, problem solving and community building. Supporting this legacy and important public mission
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at the time of application Special requirements for the position: possess solid programming skills (e.g., Python, R, GIT) familiarity with machine learning, data analytics, or deep learning keen interest in
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, interventions, education campaigns and initiatives aimed at improving the well-being of students and staff across the university. The role requires a deep understanding of public health, student and staff needs
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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nearly 4 million people in Orange County, western Riverside County and southeast Los Angeles County. To learn more about UCI Health, visit www.ucihealth.org. Your Role on the Team Position Summary
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are passionate about building a positive environment to grow and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 12 days ago
-derived organoids, bioengineering and aging research. At AITHYRA, particular emphasis will be placed on the integration of multimodal biological data, development of deep learning and large language models
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
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learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly with