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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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science. Practical experience in Python programming and database management. Exposure to cloud computing environments and API integration. Development of skills in machine learning and data analysis
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. Minimum Overall GPA: 2.50 Discipline(s): Computer, Information, and Data Sciences (17 ) Earth and Geosciences (2 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical
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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
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models such as GAMS. Point of Contact Justina Eligibility Requirements Degree: Doctoral Degree received within the last 48 months or currently pursuing. Discipline(s): Computer, Information, and Data
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Citizenship: U.S. Citizen Only Degree: Master's Degree or Doctoral Degree received within the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (2 ) Earth and Geosciences (1
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machine learning, coupled fire behavior/fire atmosphere modeling, air quality modeling, and system evaluation. Depending on their skills and interests, they can participate in various aspects of the project
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military and civilian personnel work at David Grant USAF Medical Center. More information is available at: https://www.health.mil/Military-Health-Topics/DHA-GME/Institutions/David-Grant About ORISE This
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(6 ) Computer, Information, and Data Sciences (17 ) Life Health and Medical Sciences (4 ) Other Non-Science & Engineering (13 ) Social and Behavioral Sciences (29 ) Age: Must be 18 years
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. Qualifications The ideal candidate should have a strong background in the mathematical and computational aspects of modeling subsurface and surface flows. Knowledge in machine learning, data assimilation, and