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3D mesoscale materials modeling. Position Details: Location: Ann Arbor, Michigan, U.S. Department: Mechanical Engineering, University of Michigan Start date: Flexible; preferred start date of September
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invited to set up experiments to explore potential environmental conditions, test water mixing models, and constrain the influence of biology on mineral alteration. Studies focusing on clay minerals
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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suffer from the knowledge acquisition bottleneck and the lack of strong collaboration between researchers and industry experts. Effectively combining frugal and explainable data-driven models with
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Researcher and Postdoctoral Researcher Positions in Computational Methods for Civil and Environmental Engineering in the field of data-driven and model-driven simulation methods for atmospheric flows, ocean
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
Energy, Transport and Aerospace, funded by the Foundation for Science and Technology (FCT). It focuses on Scientific Artificial Intelligence, optimization, and computational modeling in engineering, aiming
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
-driven world. The Division will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human centric
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
-driven world. The Division will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human centric
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comprehensive IT architecture aligned with OUD's strategic vision. In this multifaceted role, you will develop robust data models and system architectures, facilitate seamless data flows, and integrate complex
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mechanisms.; - Develop data-driven and/or causal model-based approaches for the identification of root causes leading to atypical asset degradation, considering charging systems as complex and