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and remote sensing imagery for ecosystem monitoring. Develop machine/deep learning-based workflows to interpret ecosystem disturbance. Synthesize model simulations and multi-source observations
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dysbiosis drives immune dysregulation and disease progression in pediatric patients, generating new clinical multi-omics data and using deep learning, structural equation models, and causal inference
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/ Population-scale multiome immune cell atlas reveals complex disease drivers https://www.medrxiv.org/content/10.1101/2025.11.25.25340489v1 A structure-informed deep learning framework for modeling TCR-peptide
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future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job Description Provide admissions interview
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of 3D data / point clouds. Knowledge of libraries or tools such as PCL, Open3D, PDAL, and CloudCompare, as wellas machine learning/deep learning methods applied to 3D data, will be considered an asset
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for environmental and/or nature-based scholarship. We seek candidates with a strong, well-defined research agenda and the ability to teach recreation or tourism courses, as well as other courses in
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Location Lexington, KY Grade Level 12 Salary Range $62,400-111,634/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https
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Location Lexington, KY Grade Level 12 Salary Range $62,400-111,634/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https
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to uncovering the intricate relationships between human activities and the environment. Through innovative tools, methods, and a deep commitment to sustainability and justice, we explore how societies shape—and
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, a deep understanding of their field, and broad scientific interests beyond their area of expertise. Nature Materials (https://www.nature.com/nmat/ ) is a monthly multi-disciplinary journal aimed