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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 hours ago
publications or manuscripts in preparation. · Demonstrated experience applying deep learning techniques in geospatial or spatial data analysis (required). · Experience with generative AI models (e.g., diffusion
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foundational models to describe IDP interactions under various physiological conditions, both normal and cancer related Use these models to iteratively design, validate, and refine experiments, leading
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Position Summary A Mathematical Epidemiology/Infectious Disease Modeling position is available in the Mitreva Lab with the Division of Infectious Diseases, Department of Medicine and McDonnell
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motivated candidate to support the national scale assessment of carbon (C) and nitrogen (N) cycling on croplands and pasture lands using the FEST-C CONUS-EPIC model. Responsibilities: Upgrade the integrated
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crystal material’s growth and characterization. You will perform cutting-edge research on theory and modeling of dynamics in condensed matter. Major Duties/Responsibilities: Development of theoretical
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High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time-series modeling, and clustering algorithms
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of stable isotopes, mass spectrometry, and computational modeling to quantify in vivo metabolic fluxes in genetically-engineered mice. Under the direction of Curtis Hughey, the postdoctoral associate will
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. Cosmological research within CPAC covers theory, modeling, observations, and experiments targeted at dark energy, dark matter, primordial fluctuations, inflation, and neutrinos. Theory and modeling activities
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associate positions. Dr. Wei Peng's group (www.weipengenergy.com ) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies
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areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning