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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0146-NPP-JUL25-ARC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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the performance and scalability of large-scale molecular dynamics simulations (e.g. LAMMPS) using machine-learned potentials (e.g. MACE) through algorithmic improvements, code parallelization, performance analysis
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in soil processes, plant physiology, plant traits, and species composition Strong data analysis skills, including proficiency in R or Python coding, and/or machine learning techniques Excellent writing
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and other machine learning models (especially neural network models, time-series models) and coding in python and R. Strong collaborative skills and ability to work well in a complex, multidisciplinary
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with electronic health record (EHR) and/or clinical data. Proficiency in Python, with strong coding and debugging skills. Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow
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, robust, and reproducible data analysis. Conventional statistical approaches will be combined with innovations in interpretable machine learning to address each aim from multiple angles. Analysis code will
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Organization U.S. Department of Energy (DOE) Reference Code DOE-OREM-ESPSE-24 How to Apply A complete application consists of: An application Transcripts A current resume including academic history
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, Sociology, or Design. Expertise in quantitative (e.g.., survey analysis) and qualitative (e.g., interviews and coding) social science research methods. Experience with sustainability assessments, such as life
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: Ph.D. in atmospheric science, meteorology, or climate science Proficiency in Python coding and visualization Familiarity with large reanalysis datasets Preferred Qualifications Work experience beyond
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Department Name PHARMACOLOGY Location Code PHARMACOLOGY (06230A) Is this split and/or fully grant funded? Yes Duties and Responsibilities The Department of Molecular Pharmacology and Neuroscience at Loyola