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catalyst design and materials characterization by standard techniques (NMR, IR, Mass spectrometry, X-ray diffraction, TEM, and DFT calculations desirable). The Zaleski Lab is a dynamic multidisciplinary
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simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
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, UV-vis, FL…etc.) is essential. The preferred candidate will have a deep understanding of the chemistry of the main-group elements. Experience with DFT or quantum-chemical calculations is also preferred
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that operate at room temperature. In this project, Density Functional Theory (DFT) calculations will be used to simulate defect structures of h-BN, like substitutional, vacancy and interstitial defects
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for submission, including clear and feasible plans to secure research income from a variety of funding streams. Desirable Application & Interview Knowledge of design-for-test (DFT) methodologies and test/debug
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-for-test (DFT) methodologies, verification strategies and test/debug architectures for digital and integrated systems, including familiarity with industry-standard verification methodologies (e.g. UVM
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" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
materials research group led by Dr. Mengen Wang is seeking a postdoc researcher to work on computational materials. The postdoc researcher will perform DFT calculations and develop methods to accelerate
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molecular systems. Method development, potentially in the realm of time-dependent current DFT, will likely also be required as we learn about physical phenomena underlying the CISS effect. Bhat group