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of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement of risk-to-resilience methodologies; and (4) the establishment of digital twin-based resilience frameworks
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postdoc to join our dynamic team at PROSYS. The ideal candidate has a strong theoretical and practical background in AI, including experience developing chatbots, virtual labs, and customizing large
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and research cover separation processes, reaction engineering, dynamics and process regulation, process and facility planning, unit operations, heat transmission, fluid mechanics and applied
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
utilizing real-time data for dynamic risk evaluation; (3) the advancement of risk-to-resilience methodologies; and (4) the establishment of digital twin-based resilience frameworks for CI, HTI, and urban
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scientific disciplines. Our research covers separation processes, reaction engineering, dynamics and process regulations, process and facility planning, unit operations, heat transmission, fluid mechanics and
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engineering, dynamics and process regulation, process and facility planning, unit operations, heat transmission, fluid mechanics and applied thermodynamics. The Department enjoys very close relations with
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on the modelling and optimisation of PRO systems using advanced Computational Fluid Dynamics (CFD) and Machine Learning (ML) techniques. This role offers an exciting opportunity to contribute to cutting-edge
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independently, who is motivated to help and be part of a dynamic research environment, and who has a positive, supportive and creative outlook. We expect you to have good communication and personal interaction
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to work independently within a dynamic research environment Willingness to collaborate with other research groups Excellent skills in written and spoken English You should strive for scientific excellence
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degree in mechanical, chemical, or energy engineering or similar and experience in some of the following areas: Experience in Multiphysics and CFD modeling involving fluid dynamics, and electrochemical