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to develop advanced algorithms, parallel computing capabilities, and software engineering of Green’s function based multiple-scattering code for computing the electronic structure and energetics
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evaluation of cyber-physical system security solutions for distribution power grid with renewable energy sources Development of simulation models and integration of CPS security algorithms into hardware-in
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of high-impact journal publications Demonstrated experience in mathematics and numerical algorithm development Demonstrated experience in adjoint methods and machine learning Experience in DAFoam
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. on an ongoing basis without sponsorship. Required Minimum Qualifications: Master’s degree in Political Science or related field Preferred Qualifications: PhD in Political Science or related field Demonstrated
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solutions for distribution power grid with renewable energy sources Development of simulation models and integration of CPS security algorithms into hardware-in-the-loop testbed environment and conduct
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Qualifications: PhD in Chemistry or related field. Must have been awarded tenure in a PhD-granting department. Preferred Qualifications: Highly qualified scholar with an extensive publication and external funding
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, engineering) Demonstrated knowledge of scientific programming languages Well versed in numerical and analytical techniques PhD in STEM field Proposed Start Date: August 1, 2025 Proposed End Date or Length of
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MS and PhD programs in Agricultural Meteorology, Crop Production and Physiology, Plant Breeding, and Soil Science, as well as offering online MS degrees in both Agronomy and Plant Breeding
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or ECVCP Phase II Certifying Exam OR Diplomate of ACVP or ECVCP Has MS, PhD, or equivalent advanced degree OR peer-reviewed publication record Has potential to contribute significantly to the mission
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demonstrated expertise in game-based learning, online teaching, and instructional design, as these are key focus areas of teaching for this role. Candidates will have opportunities to serve on Master’s and PhD