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programming (Python, MATLAB, IDL) with experience in data analysis, visualization, optical raytracing, and simulation software. Ability to develop custom analysis tools. Knowledge of numerical methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours 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
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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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for students, line-manage Research Assistants and D.Phil. students, mentor on methods, analysis and career development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g
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Danfoss, you will combine thermofluid modelling, reduced-order multiphysics methods, and nonlinear rotor dynamics analysis to develop predictive modelling tools that support the industrial design of
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electronic excitations—constitute a particularly well-suited and versatile system for exploring this physics. An optical excitation triggers Bose-Einstein condensation, and analysis of the light escaping from
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characterization, and flow measurements; validate models and identify operating regimes. Develop numerical simulation, data-analysis, and machine-learning/automated rule-extraction workflows that integrate
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agencies, investors, pharma companies etc. This role may also provide the opportunity to join a spin-out company as part of the founding team. Learn more about the innovative work here: https
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analysis (FEA) and numerical modelling, preferably using Abaqus. Good programming skills, preferably in Python. Ability to work effectively both independently and as part of a multidisciplinary research team