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learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high
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researcher will be responsible for performing statistical analysis of complex datasets derived from large-scale biological images, as well as proteomic and genomic data. The postdoctoral researcher will
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» AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in one of the following areas (or related fields): * Machine learning / deep learning * Quantum computing / quantum
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economy. Key Responsibilities Acquire, process, manage, and integrate field and satellite data (Sentinel-2, Landsat/HLS). Develop, calibrate, and validate predictive models of vegetation fuel moisture
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data assets, and in the context of the world’s largest longitudinal population studies, many hosted here at the Big Data Institute, as well as other international initiatives. To be considered, you must
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
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Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | about 23 hours ago
, United States of America [map ] Subject Areas: Computer Science and Electrical and Computer Engineering Artificial Intelligence, Machine Learning and Autonomy Data Science Artificial Intelligence Astronomy / Astronomy and
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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, Computer Science, or Information Science. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could