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loading conditions. • Develop and validate computational models (FEA/FSI) of cardiac valves. • Integrate experimental data with simulation results to evaluate stress and strain
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to environmental light disruptions during pubertal development. The position exists to generate high-quality experimental data using behavioral, in vivo imaging, and molecular techniques in pre-clinical models
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. Knowledge of GWAS analyses (PLINK and SKAT-O), and multivariate and mixed model analyses are also recommended. We are seeking motivated postdocs with strong analytical skills to join our effort and generate
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, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
simulations. This role will support innovative research at the intersection of Artificial Intelligence, Computational Biophysics and Chemistry, and Drug Discovery. The successful candidate will contribute
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to inform and navigate future challenges. You will identify existing technologies which may be used to develop interactive simulations of evolving landscapes. These will be applied to available data sets
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. This role focuses on the aerodynamic modelling of floating wind turbines and their dynamic response under realistic wind and wave conditions. You will conduct high-fidelity CFD simulations of floating
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designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal of applying them to data. Collaborative endeavours
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scattering and absorption and black carbon. Several years of aerosol-dynamics and Lagrangian box-model simulations including runs with modified land use and aerosol process representations will be analyzed
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conversion and oxidation processes. The associate will be responsible for conductinglaboratory experiments, analyzing isotope data, and integrating these findings into atmospheric models to enhance