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theoretical aspects of wave propagation and complex systems. Experience with optical experiments, numerical simulations, or computational modeling. Programming and simulation skills in MATLAB, Python, COMSOL
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), bioinformatics, or theoretical ecology (modeling) research in peer-reviewed scientific journals ● Experience in programming in R, Python, or a similar programming language. ● A demonstrated commitment to
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analyze multi-omic data provided by our collaborative partners and interpret the results from a biologically relevant perspective. Planned activities include Python code development, the analysis and
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experience with one or more programming languages commonly used in Human-Robot Interaction research (Python, JavaScript). It is meritorious if: You have experience programming robots (e.g. using ROS). You have
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learning as well as a strong background in scientific programming (in languages like Julia, Python, Fortran or C/C++). The applicant must hold a PhD in physical oceanography, atmospheric sciences, computer
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 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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) 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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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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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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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