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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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Manager, ITS Infrastructure. For more information about ITS, please visit our website: https://its.umich.edu/ Cellular Core, Network Automation, and DevOps Engineering (50%) Contribute to the design
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to advanced molecular biosciences. In Stockholm, SciLifeLab is located on Campus Solna, where research groups from Stockholm University, the Royal Institute of Technology, and the Karolinska Institute conduct
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advanced engineering approaches, including model-based engineering methods, digital representations of systems and processes, immersive engineering environments and data-driven engineering techniques
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | 2 months ago
demonstrated the efficacy of employing machine learning approaches to furnish engineers with a rapid computational asset for structural design and monitoring. Given that numerical models incorporating multi
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26 Mar 2026 Job Information Organisation/Company University of Cyprus Department KIOS Research and Innovation Center of Excellence Research Field Computer science Engineering » Electrical
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analytical thinking skills, particularly in understanding how databases support data-driven decision-making. All application materials must be submitted via Interfolio at https://apply.interfolio.com/183881
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application! How does AI transform how firms create value and compete? We are launching a new research project to explore how specialised AI models are reshaping the conditions for value creation and innovation
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qualifications (required at time of application) Doctoral degree in engineering, oceanography or a related field, with relevant background in data-driven modeling, machine learning and/or fluid mechanics
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recently seen the first results in application to engineering materials for wear and plastic damage in steel. A significant opportunity is FLAME GPU general-purpose modelling framework developed in Sheffield