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methods to modern simulation and modeling procedures, and encouraging transfer to application-oriented material systems and processes. Furthermore, the professor will also be expected to teach in bachelor’s
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analysis, including handling complex databases Essential Application/Interview Proficiency in computational modelling software and tools being used for simulation of non-invasive brain simulations Essential
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balance of individual plasma species. You will implement new modelling approaches in state-of-the-art plasma simulation platforms, such as nonPDPSIM and HPEM , in the context of plasma etching and EUV
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Job description: DESY The CMS Quantum Computing group develops generative machine learning models for detector simulations, specifically the simulation of showers in calorimeters: Proof-of-principle
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: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and composites
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the rate of fire growth. State-of-the-art fire models designed for these simulations also require input parameters (material properties) that describe: the decomposition reaction mechanism of combustible
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laser systems. For more details, please view https://www.ntu.edu.sg/eee. We are seeking a Senior Research Fellow to lead the design and development of chip-scale laser systems for quantum sensing under
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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time. The PhD will combine experiments, modeling, and numerical simulations. The experimental work will involve the design and fabrication of bubble metascreens using 3D printing, laser cutting, and
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. Description: Context: Laboratory Astrophysics is a core capability at NASA Ames Research Center. Laboratory experiments and quantum-chemical computations simulating astrophysical conditions generate data