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commensurate with educational level and experience. Stipend range is $69,000-$75,000 annual. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program
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scientific research, utilizing advanced skills and knowledge to execute the following tasks: plan field and laboratory experiments based on the season and phenology, run established research protocols, and
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the following tasks: plan field and laboratory experiments based on the season and phenology, run established research protocols, and modify and develop new procedures to achieve research goals. Moreover
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engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic
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. Strong programming skills. Familiarity with popular Deep Learning platforms such as PyTorch and TensorFlow. Preferred Qualifications: Expertise in vision transformer or large language model. Expertise in
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 3 hours ago
Organization U.S. Department of Energy (DOE) Reference Code DOE-STP-OP-2025-0001 How to Apply Click on Apply below to start your application. Description The U.S. Department of Energy (DOE) Science
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quantitative skills Proficiency with statistics and data analysis Familiarity with a programming language such as R Willingness to collaborate with other postdoctoral researchers, students, agency and university
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fluorescence microscopy, basic programming (Python or other languages), and/or quantitative analysis of microscopy or simulation data. ? Experience working collaboratively in teams and effectively communicate
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Organization U.S. Department of Energy (DOE) Reference Code 2026-NNSA-MSIIP How to Apply Click on Apply below to start your application. Application Deadline 10/26/2025 11:59:00 PM Eastern Time Zone
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. Demonstrated fluency in R, Python, or Stata programming languages and documentation (through prior research) of strong quantitative skills, as evidenced by application material. Ability to work both