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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability to teach in German and English We offer
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background in (not necessarily all) the following fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability
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months): interface definitions and adaptions of numerical models Institute Pierre-Simon Laplace (IPSL, Guyancourt, France, ca. 2 months): interface tuning and simulations for plume-in-grid models
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Lehrstuhl für Nachhaltige Thermoprozesstechnik und Institut für Industrieofenbau und Wärmetechnik | Aachen, Nordrhein Westfalen | Germany | 19 days ago
spectrum of theoretical, practical and organizational work: Research - As part of various national and EU-funded projects, you will be working on the modelling and simulation of steel production in electric
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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, MATERIALS SCIENCE, MODELING AND SIMULATION, MOLECULAR SIMULATIONS, NUCLEAR WASTE MANAGEMENT, PLASMA PHYSICS, PHOTOVOLTAICS, SYNTHETIC FUELS AND GREEN CHEMICALS, SYSTEMS ANALYSIS, TECHNOLOGIES FOR THE HYDROGEN
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Description at the Leibniz-Institut für Kristallzüchtung is looking for a PhD Student (m/f/d) for the topic: “Kinetic Monte Carlo Simulations for the Homoepitaxy of Ga2 O3 ” Ga2 O3 is a highly promising
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. Multiscale simulations of the downstream expansion behaviour of the engine exhaust plume for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional