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considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab
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modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential
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Science. Proficiency in programming (Python, Julia), and high-performance computing (provide evidence with specific examples) Ability to work independently and collaboratively. Strong written and oral
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programming languages and tools commonly used in robotics, such as C , MATLAB, Python, and ROS. Excellent communication and collaboration skills, with the ability to work effectively in an interdisciplinary
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. Preferred Qualifications Experience with: C/C++, Python, MATLAB, ROS 1 and 2, OpenCV, Unity, GPU programming, linear and nonlinear control theory, supervised, unsupervised and reinforcement learning, Torch
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ability to code independently in R, Python, or Matlab. Demonstrated ability to coordinate a complex research project. Demonstrated ability to supervise exercise interventions. Additional Information
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• Familiarity with operating HPC clusters (e.g., bash, Python) Preferred Qualifications • HPC programming skills (e.g., modern Fortran or C/C++) • Parallel programming skills (e.g., OpenMP, MPI, OPENACC, CUDA
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
. Subject matter expertise in ecophysiology, biogeochemistry, remote sensing and field ecology are desired. Programming experience in R, Python or other similar computing languages, as well as experience in
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particular with Large Language Models. Solid programming expertise in Python. Be the main author in at least one journal publication in the area of AI4SE, published at a high impact journal. Experience with
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience