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). The project focuses on the assessment of robust, accurate, and automated CFD methodologies for aerodynamic analysis of cycling performance, including workflow automation, mesh generation, simulation, post
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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experimental and/or numerical (finite element) mechanics - Keywords: Paper and fibrous materials, X-ray microtomography, in situ mechanical testing, Image analysis, Multi-Particle Finite Element Method (MPFEM
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
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systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
biology * Biochemistry and protein analysis techniques Special Physical/Mental Requirements Campus Security Authority Responsibilities Not Applicable. Special Instructions Quick Link https
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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resources. The laboratory also plays a central role in the development and promotion of Earth observation, contributing to the design, implementation, and scientific operation of numerous satellite missions
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, numerical simulations, and data-driven analysis, with emphasis on reproducible scientific software. Expected outcomes include a general theoretical framework, predictions for phase transitions, and scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant