173 coding-"https:"-"Prof"-"FEMTO-ST"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Developing online resources to support teacher development Coordinating with research partners to ensure consistent data collection Data analysis Coding interviews and other qualitative data sources
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 4 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0037-NPP-MAR26-LRC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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effective manipulation of gridded data, such as MATLAB, Python, R, or NCO. Ability to read and do limited modifications of C/C++ model source code. Ability to use Windows or MacOS. Ability to run simulations
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the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means
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scientific outputs that may include peer-reviewed publications in top-tier water journals, professional scientific code/software contributions, and high-quality datasets. Candidates must also be willing
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standard (version control, unit testing, continuous integration, etc.). Experience in the development of large-scale physics simulation codes, including coupling of multiple codes, and an understanding
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productivity across ideation, coding, experimentation, analysis, and writing. Interpreting results critically and positioning contributions within the broader research literature. Publishing research outcomes
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. • Collegial conduct towards members of the research group and others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant conduct policies pertaining
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%) Write code to conduct data wrangling and analyses (20%) Prepare recommendations for solutions of problems or other research findings in written form, either as formalized reports to supervisor or through
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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal