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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
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focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as, but not limited to, automatic machine learning model selection and automatically explaining machine
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of gerontology: https://gero.usc.edu( opens in new window) The Irimia Laboratory leverages neuroimaging, neurogenomics, and deep learning to study the aging brain in health and disease, particularly in
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
The position requires knowledge and training in computational biophysics/chemistry and drug design. The researcher will conduct research to forward the developments of biomolecular modeling and computer-aided
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relevant to field experiments, survey experiments, causal inference, text analysis, machine learning, or related methods. Excellent written and oral communication skills, including interest in communicating
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theory calculations and machine learning (ML) to model the life- cycle stability in beyond-lithium ion batteries. Job Related Minimum Required Education and Experience Ph.D. in Materials Science, Physics