29 molecular-modeling-or-molecular-dynamic-simulation PhD positions at NTNU Norwegian University of Science and Technology
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short fiber thermoplastic composites Develop and validate numerical models and simulations to predict material and component performance Be prepared for changes to your work duties after employment
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. This implies hydrodynamic modelling, including numerical simulations. We are looking for a skilled person with basic knowledge of hydrodynamics/fluid mechanics and who is motivated for working with modelling
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. The Department of Electric Energy (IEL) at NTNU is seeking a highly motivated candidate for a full-time (100%) PhD position for 3 years as part of the project “Modelling and analysis of pumped storage
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of the behaviour of fires, their physics and chemistry, also known as fire dynamics. More knowledge is needed about the growth and spread of fires in buildings and how to analyze and simulate them. Computational
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for Energy Technology, IFE). Duties of the position Carry out research of high quality within the scope described above. Develop mathematical models and computer code for optimization and simulation of energy
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decades, the evolutionary histories and dynamics of major groups remain unclear or unknown. Besides cryptic speciation, a fundamental theoretical challenge is how to interpret genetic and genomic data in
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constitutive models and enhance machine learning-driven approaches for predicting and optimising energy absorption in metamaterials. The candidate will work alongside experts in solid mechanics, impact dynamics
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theory (state observers, parameter identification), mathematics of partial differential equations, modelling and simulation, machine learning/reinforcement learning. Experience with design of state- and
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a completed doctoral education up to an obtained doctoral degree. For many important applications, data is represented as graphs, with dynamic relationships between nodes. Examples include the power
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by development of methodology to study converter services and dynamic interactions in regional and local distribution grids, using relevant simulation tools with appropriate levels of aggregation and