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Field
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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uncertainty. ●Design and analyze novel algorithms or theoretical models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability
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simulations), computational chemistry, machine learning, enhanced sampling methods, force field development, or related fields are encouraged to apply. Start date is flexible. the postdoc will collaborate with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
data Proficiency in scientific computing and geospatial data processing Hands-on experience applying statistical and/or machine-learning methods to real geospatial problems, including model validation
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
experience with advanced machine learning models. Specific expertise in ensemble methods, gradient boosting frameworks (like CatBoost or XGBoost), and neural networks is highly sought. Experience with
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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to student learning, research, health care, and service is seeking applicants for a research postdoctoral fellow position in the Department of Pediatrics, Division of Newborn Medicine. The candidate will join
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
on the application of artificial intelligence and machine learning to solving complex trajectory design problems. Specific applications will focus on tour design strategies and trajectory design within other multi