Check out our latest installment of women in science with this interview with Shania Sanders, and learn about her journey from an intern to a computer programmer at NASA Langley Research Center.
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Data scientists work with data captured by scientific instruments or generated by a simulator, as well as data that is processed by software and stored in computer systems. They work with scientists to analyze databases and files using data management techniques and statistics. From changes in sea level, atmospheric composition, or land use, data scientists help make sense of the petabytes of data that NASA collects and stores.
Visit this link to explore careers in Engineering Technician.
Chemists study atomic and molecular structures and their interactions.
Follow along as NASA visualizer Kel Elkins walks you through three visualizations (Dust Crossing, Typhoon Hagupit, and Aquarius Sea Surface Salinity) and answers questions about his work, education, and career.
Software engineers play an important role at NASA as this field supports the success of our missions on Earth and beyond. This field will continue to grow as it helps NASA address the many challenges that our agency faces.
Students will observe monthly satellite data of the North Atlantic to identify relationships among key science variables that include sea surface salinity (SS), air temperature at the ocean surface (AT), sea surface temperature (ST), evaporation (EV), precipitation (PT), and evaporation minus pre
Explore the energy and matter cycles found within the Earth System.
This investigation is part of the NASA: Mission Geography Module "What are the causes and consequences of climate change?" that guides students through explorations in climatic variability and evidence for global climate change.
The My NASA Data visualization tool, Earth System Data Explorer (ESDE), helps learners visualize complex Earth System data sets over space and time. Visit this page to review the datasets we have available to you and their organization by Earth System sphere, science variable, dataset name, and start/end dates.