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programming (Python, HTML, Java, Powershell) and IT science/security experience also a plus. Stipend $6,617.00 – $6,680.00 Monthly Point of Contact Janeen Eligibility Requirements Citizenship: U.S. Citizen Only
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skills: Preferred educational background in computer sciences or related field. Any educational or experience with agricultural data is a plus. Knowledge in computer programming (Python, HTML, Java
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of the relevant fields. Degree must have been received within the past five years. Public health informatics majors would be the most natural fit. Preferred skills: Proficient in Linux Proficient in Bash and Python
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, knowledge of a scripting language such as Python, Perl, awk, or R, and knowledge of core formats and methods for handling genomic sequence and gene annotation data. Stipend $55,572.00 – $87,440.00 Yearly
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Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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: Training and hands-on experience in epidemiologic and quantitative data analysis Experience with statistical software such as SAS, R, Stata, or Python Experience analyzing observational, survey, electronic
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applying statistical or analytical methods using software such as R, SAS, Python, Stata, or similar tools. Familiarity with public health surveillance systems, environmental health data, geographic
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(Journeyman Fellow), Master’s Degree 7+ years (Senior Fellow), Doctoral Degree (Postdoctoral Fellow), or Doctoral Degree 5+ years (Senior Fellow). Discipline(s): Chemistry and Materials Sciences (12
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, or extreme weather impacts on health. Experience with quantitative datasets and applying statistical or analytical methods using software such as R, SAS, Python, Stata, or similar tools. Familiarity with