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and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python
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Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible
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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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support systems. Writing code using programming languages such as C#, C++, Python, Kotlin, Java or Swift. Developing and implementing APIs between various systems. Learning and gaining experience in game
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burn chamber. https://research.fs.usda.gov/firelab At the heart of the USDA Forest Service's mission is their purpose. Everything they do is intended to help sustain forests and grasslands for present
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applications and end user experiences Writing code using programming languages such as C#, C++, Python, Kotlin, Java or Swift Developing and implementing APIs to write XR applications and use OpenXR standards
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support staff from the Sustainable Agricultural Water Systems ARS-USDA unit (https://www.ars.usda.gov/pacific-west-area/davis-ca/sustainable-agricultural-water-systems-research/ ). Research (90%): Field
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: Strong data analysis skills, including experience working with large climate datasets. Programming experience, particularly in Python, and proficiency with UNIX platforms. Matlab, IDL and/or GrADS use
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solutions. For more information about DHS visit: https://www.dhs.gov/mission. Project The DA-TC is seeking candidates who have the academic background to engage in the following projects. Projects will be
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approaches. Familiar with common scientific programming languages such as python, C++, or Fortran. Experience with high performance computing environments is welcome. Candidates who do not strictly meet these