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responsibilities must be performed safely without injury to self or others in compliance with System and University safety requirements This position requires compliance with state and federal laws/codes and Texas A
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nuclear astrophysics or stellar astrophysics with a focus on the modelling of astrophysical object or systems Experience developing and running codes for simulating astrophysical nuclear reactions and in
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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to the University Code of Conduct for professional employees. Generate high quality data to support intellectual property development and publications in high impact journals. Publication of two high-impact
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of urbanization on precipitation, and aerosol-cloud interactions Strong modeling skills and high-performance computing experience Experience with model code development, and strong programming skills (e.g., Fortran
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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