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technology. Research may include analytical and numerical spectral methods, momentum- and real-space analysis, and connections between spectral structure, topology, and quantum degrees of freedom. Research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
inform observable macroscopic properties as part of the activities of the UNC Superfund Research Program (SRP) (https://sph.unc.edu/superfund-pages/srp/). This work involves running, developing, and
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fellows, and numerous graduate students and post-doctoral fellows. The Department has a staff of 220 advanced practice providers, administrators, research administrators, clinical research associates, and
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. CNAP participates in numerous international initiatives and maintains an extensive global network, making it an ideal environment to build your own collaborative connections. CNAP is affiliated with
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Classification Title: Post Doctoral Associate Job Description: The Department of Epidemiology (http://epidemiology.phhp.ufl.edu/) is strategically situated within the College of Public Health and
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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https://www.ubjobs.buffalo.edu/postings/59721 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position Summary
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above is preferred but not required. Job Duties: Performing high-level experimental, theoretical, and numerical research and data analysis on electrochemical systems, including molten salt electrolysis
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management, analysis and visualization. The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and
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research potential. Teaching may be required. Qualified candidates are expected to have a background in scientific machine learning, numerical analysis, and dynamical systems. Preference will be given