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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
ethnic heritages that help make UNC-Chapel Hill a thriving intellectual center. We’re repeatedly ranked the nation’s best value in higher education for students seeking to earn a college degree – the
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, the project enables breeders to rapidly identify high-performing plants and make data-driven decisions, accelerating variety development and reducing costs. You will support the next phase of the project as it
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2030 program (see https://www.pepr-risques.fr/fr/programme-de-recherche-risques-irima ). IRIMA is led by CNRS, Grenoble Alpes University and BRGM, and aims to structure and strengthen hazard and risk
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quantify the evolution of the thermal structure of the Aquitaine Basin's crust and mantle using the geological record. Geophysical data, the subsidence history of sedimentary basins, and thermal-mechanical
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knowledge of electronic structure theory and a strong foundational understanding of solid-state physics. Experience with Density Functional Theory (DFT) and a high interest in an academic career. Strong
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for publishing Mentor graduate and undergraduate students and manage the computation facilities in our labs Translate research into software platforms Assist in grants writing and make presentations at scientific
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institution and one of the nation's foremost research universities, and as such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives. Connections
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teaching experience to support the teaching needs of the Department. Candidates are encouraged to make a case for how their work and experience will contribute to the research and teaching interests
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also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed
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exploring the evolutionary trajectories of energetic frustration from ancestral to extant proteins, combining ancestral sequence reconstruction, structure prediction, and statistical energy models