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, enhancing, and running code in R. You will have excellent communication skills with the ability to talk to different audiences, as you will be collaborating with a team of researchers across multiple
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tools in combustion. Our computational codes are also used by various international research institutions. Both experimental and numerical projects are conducted in parallel providing a platform for
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candidate will contribute to project planning and lead efforts related to codebook review, variable coding, statistical analyses, and manuscript writing. Strong writing skills are essential, along with
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of renewable energy technologies, including geothermal energy. (4) Conduct analyses of existing codes, standards, and policies related to building decarbonization. (5) Author peer-reviewed publications and
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Compensation Range: $62,232 – 75,564.00 annually; follows NIH stipend level by experience Work
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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required
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, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Science. As a member of the ORNL scientific community, you will be expected to commit to ORNL’s Research Code
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0321-NPP-NOV25-JPL-PlanetSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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program of independent research with the primary goal of improving the algorithm codes used to characterize the Earth’s gravitational field. Duties will include specialized scientific/numerical analysis
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new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models