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Field
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targets through the investigation of anti-inflammatory peptides derived fromanimal venoms. The activities involve exploring the biology of the peptides and their in vitroeffects on cellular models
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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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simulation, with strong skills in mathematics Highly proficient in Matlab/Simulink for system modelling Experience with (stationary) battery storage systems is required Prior exposure to HIL systems is 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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Your Job: Development and optimization of high-temperature heat pipes for fusion applications Numerical simulations of heat transfer and fluid dynamics in heat pipes using COMSOL, ANSYS, or similar
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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Electrodynamics General Circulation Model (TIE-GCM) is a global 3D numerical model that simulates the coupled ionosphere-thermosphere system from ∼97 to ∼600 km height. It self-consistently solves the fully coupled
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System Models, or related simulation tools. Additional knowledge of statistical methods, Monte Carlo techniques, or ensemble approaches is highly valued. The post is advertised as full-time. We are open to
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About us The Green Laboratory investigates tissue morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and
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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