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to study hypotheses Validate models via targeted simulation, sensitivity analysis and exploration Apply methods to problems in geosciences, in particular bio-/geochemical cycles Your qualifications: A
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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. The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including
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mesoscale fractal geometry, creating physics-informed neural network models to analyze turbulent structures, and comparing simulation results to astronomical observations to develop methods for inferring
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, with relevance to submarine glacier melting and other ice-ocean interactions. The position will emphasize both numerical approaches (e.g., Large Eddy Simulation, Direct Numerical Simulation, multi-scale
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Excellent writing skills for article and grant writing Excellent presentation skills System dynamics modeling and simulation (e.g., Stella, Vensim) Duration: One year with expectation of renewal for 2 years
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
-based experiments. Proficiency with scientific programming languages and analysis tools such as C++, Python, Geant4, and ROOT. Experience with simulation and modeling of detector systems and physics
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research work in the Sustainable Energy and Environmental Systems Department. The Postdoctoral Scholar will conduct energy and environmental policy analysis, specifically by modeling key performance metrics
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life