353 coding-"https:"-"FEMTO-ST"-"UNIVERSITY-OF-BUCHAREST" "https:" "https:" "https:" Postdoctoral positions in United States
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scholarship. Our active GW Postdoctoral Association welcomes your engagement in social and professional activities as you join our research teams. Research guides, coding and data management solutions as
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apply. For more information, please visit the University of Washington Labor Relations website (https://hr.uw.edu/labor/academic-and-student-unions/uaw-postdocs/uaw-postdoc-contract). The base salary
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Scholar Annual Basis: 12 Month Review of Applications Begins December 1, 2024; position open until filled. Special Instructions to Applicants Please apply here: https://academicjobsonline.org/ajo/jobs/28843
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Organization U.S. Department of Energy (DOE) Reference Code DOE-FES-2026 How to Apply Completed applications are due to be to submitted in Zintellect on January 15, 2026. Applications are reviewed
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(CFD) simulations. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: https://www.aoe.vt.edu/people/faculty/liselle-joseph.html. This role offers
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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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/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The University of Minnesota Medical School (Duluth and Minneapolis campuses) is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
from extreme weather to pandemics to cyberattacks. - Applicants must have significant computer coding skills, e.g., Python, R - Excellent written, oral, and interpersonal communication skills. Preferred
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Compensation Range: $62,232 – 75,564.00 annually; follows NIH stipend level by experience Work
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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial