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) or other related codes (e.g., MOM6) realistic and/or idealized configurations. Ability to analyze TB of NetCDF ocean model output; Fluency in Fortran, Python, and/or Matlab; Demonstrated record
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Python and SAS could be an advantage. Those with less experience may be considered as Research Assistant I/II. The appointee will work on research projects related to health service research, and assist in
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, optimization, or related fields. Proficiency in scientific programming (e.g., Python, Julia, or C++) and experience implementing optimization algorithms. Proven ability to work both independently and in
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and rigorously evaluating new machine-learning methods. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 13 days ago
black-box prediction; scientific computing (e.g., Python); and peer-reviewed publications. Experience in all areas is not expected; a strong foundation in the underlying physics matters most. Point
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on imaging concepts, knowledge of Matlab, Python programming languages and commercial software based on the finite element method is a plus, excellent communication skills (written and oral) in English. A very
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modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages and tools. Ability to work with large datasets and to integrate these data with acoustics models
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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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Engineering, Applied Mathematics, or a related field. Candidates should have expertise in several of the following areas: Scientific software development (C++, Julia, Rust, Python, or similar) Numerical methods
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- 4 Additional Information Eligibility criteria - Evolutionary genomics analyses on large NGS datasets -Knowledge on coding (C ,C++, or java), script writing (python, perl), R software and shell Unix