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interdisciplinary applications of computation, modeling & simulation, and data-driven discovery. Complementing its educational mission, CDS faculty develop, conduct, and disseminate cutting-edge, externally funded
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 20 days ago
manufacturing and structural analysis by simulation in the testing pyramid for certification of aeronautical structures, increasing the reliance on digital technologies (data or simulation driven) to ensure
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. This is not a traditional outpatient role focused on volume. The IOC operates within a capitated Medicaid model in partnership with University of Utah Health Plans. Our interdisciplinary team brings
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. This is not a traditional outpatient role focused on volume. The IOC operates within a capitated Medicaid model in partnership with University of Utah Health Plans. Our interdisciplinary team brings
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and government partners. We are looking to recruit a passionate and committed researcher to drive forward our work on simulating possible transitions away from individualised car ownership. This work
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-Doctoral Associate (PDA) to engage in cutting-edge research on channel modeling and characterization for communication and sensing in emerging spectrum for 6G and beyond, with a focus on the FR3, THz and
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infrastructure, including the Sir Lawrence Wackett Defence and Aerospace Centre, the Aviation Academy, and digital and simulation facilities such as VxLab. To be successful for this position, you will have
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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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) to study yielding in cellular materials, specifically in emulsions. The postdoc (M/F) will analyze experimental data and compare to simulations that they will carry out. - Numerically study a vertex model
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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting