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designed to provide students and recent graduates, opportunities to participate in project-specific research and developmental activities at the Public Health Strategy and Analysis Staff (PHSA). PHSA
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artificial intelligence and cloud computing, accelerated by federal policy (Executive Order 14179), has created an emerging water-use category with important implications for water resources and infrastructure
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: Programming in Python, R, or other common program languages. Experience with data wrangling techniques Experience with working in a cloud environment (e.g., Microsoft Azure) Experience with relational database
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Precipitation is of great importance to life on Earth, and clouds and precipitation are crucial
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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, Computer Science, Systems Engineering, or a closely related field. A postgraduate is required to have earned their degree within 5 years of the appointment start date. A PhD is not required at the time of selection