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Organization National Aeronautics and Space Administration (NASA) Reference Code 0350-NPP-NOV26-JPL-Astrophys How to Apply All applications must be submitted in Zintellect Please visit the NASA
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, or doctoral degree in the one of the relevant fields. Preferred skills: Fluent R and high-proficiency Python programming for data analysis, modeling, and scripting Courses or training that includes
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: Programming in Python, R, or other common program languages. Experience with data wrangling techniques Experience with working in a cloud environment (e.g., Microsoft Azure) Experience with relational database
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pursuing. Preferred skills: Experience with quantitative analyses and data visualizations using R, python, and/or GIS. Ability to conceptualize complex problems and identify possible approaches or solutions
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(Python, HTML, Java, Powershell) and IT science/security experience also a plus. Stipend $6,617.00 – $6,680.00 Monthly Point of Contact Janeen Eligibility Requirements Citizenship: U.S. Citizen Only Degree
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++, python, Matlab, or R), including software for advanced Bayesian data analysis (e.g., NIMBLE, stan). Stipend $83,500.00 Yearly Point of Contact Michele Eligibility Requirements Citizenship: U.S. Citizen
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preferred. Experience with developing liquid chromatography methods is preferred. Familiar with Isotopic Ratio Outlier Analysis (IROA). Programming in Python and/or R preferred. Experience in chemical, and
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programming (Python, HTML, Java, Powershell) and IT science/security experience also a plus. Stipend $6,617.00 – $6,680.00 Monthly Point of Contact Janeen Eligibility Requirements Citizenship: U.S. Citizen Only
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skills: Preferred educational background in computer sciences or related field. Any educational or experience with agricultural data is a plus. Knowledge in computer programming (Python, HTML, Java
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of the relevant fields. Degree must have been received within the past five years. Public health informatics majors would be the most natural fit. Preferred skills: Proficient in Linux Proficient in Bash and Python