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at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to
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desirable: Earth, Physical, and/or Computing Sciences, Carbon Cycle Science, mathematical modeling, programming in a compiled language like C or FORTRAN95, scripting with python or R. Location: Goddard
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engineering, including performance and conceptual design Experience in energy systems modelling and mathematical optimization Programming skills in, for example, Matlab, Python, C++, Fortran, or equivalent
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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
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image processing and/or data analysis. Proficiency in Python programming. Specific Requirements Full time and on-site within the LISTIC laboratory. Internal Application form(s) needed Offre emploi POST
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methods of soil characterization, monitoring and management, Organization of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python
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over time, enabling fine-grained modelling of learning processes. Methodologically, the project will involve statistical modelling in R and/or Python, with a focus on continuous-time structural equation
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, PRS, pathway analysis, or Mendelian randomization) and statistical analyses in R or Python; the candidate must have programming skills, ability to handle large datasets, experience in scientific
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of classical programming languages and no-code environments, e.g., Python, R, Microsoft Azure AI Studio, RapidMiner, Dataiku, etc. Methodological and statistical competencies (e.g., for analytics) Experience
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functional MRI approaches for studying human brain function. Thorough familiarity with programming and analysis in MATLAB and/or Python. Strong record of peer-reviewed publications and productivity beyond