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Department: Electrical Engineering Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
Pharmacology T32 Postdoctoral Training Program Vacancy ID PDS004510 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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of funding. POSITION SPECIFICS The Department of Materials Science and Engineering, in the College of Earth and Mineral Sciences is seeking a postdoctoral scholar. The final candidate will perform a range of
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collaborative environment. The Institute for Modeling Collaboration and Innovation (IMCI) is an interdisciplinary, collaborative research program housed at the University of Idaho. IMCI creates an intellectual
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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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Research Associates. DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating
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: 271405681 Position: Postdoctoral Research in Astrophysical Sciences Description: Postdoctoral research positions in Astrophysical Sciences The Department of Astrophysical Sciences, Princeton University
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Department: Chemistry Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and
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Classification Title: Post-Doctoral Associate in Polymer Science Classification Minimum Requirements: Ph.D. in Chemistry or closely related field. Job Description: A Post-doctoral Associate in
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Forestry, Earth Science, Computational Science, or related fields. Ph.D. research experience in wildfire engineering, fire science, landscape modeling, or related topics. Experience in working with big data