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. Description: The cosmic microwave background is the most important source of information about the geometry and contents of the Universe. The CMB group at JPL is large and broad, covering experiment design and
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addition to their essential role in scientific research, numerical simulations are now integral to mission forecasting and survey formulation, and to the eventual analysis of observational data. We have several opportunities
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independently and in close collaboration with others, should have excellent abilities in programming (Matlab, Python, or similar) and be familiar with processing big data. Prior experience of working with
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. Description: The growth of objects in Earth orbit continues to increase with an estimated 1 billion pieces of debris too small to be tracked, but large enough to present a serious risk to spacecraft missions
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astrobiology. Description: This NPP opportunity is to work on modeling and data analysis from the Cassini/Huygens, Voyager 2, Rosetta, and New Horizons missions. We are interested in applicants that can evaluate
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climate. Observational work would include data from GRACE, SMAP, GPM or in-situ stations. Model diagnosis and analysis can include CLM, VIC, CLSM, and LIS frameworks including GLDAS and NLDAS. Model
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. Description: The Fermi Gamma-ray Space Telescope has been collecting high-energy gamma rays since August 2008. The main instrument, the Large Area Telescope (LAT) is a pair-conversion telescope that observes
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collaboration with others, should have excellent abilities in programming (Matlab, Python, or similar) and be familiar with processing big data. Prior experience of working with existing satellite data is
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the Health Information Exchange (HIE) and other “big data” to provide more real-time epidemiologic surveillance. Data Analysis & Interpretation: Perform high-level data analyses to evaluate medical standards
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences