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for numerical simulations of turbulent flows. Data from DNS, wall-resolved LES, and experiments will be used to train and validate models applicable to wall-modeled LES and RANS. From an application perspective
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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is to develop a new curvilinear slicing software and control software and integrate them with a numerical model to build a digital twin of the robotic printing process. Your primary responsibilities
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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simulation of distributed quantum programs - Statistical model checking for approximate analysis of distributed quantum systems Qualification requirements Appointment as postdoc requires academic
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charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
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to join our research team focused on the development of SatCom system analysis and design. The research will focus on modelling satellite constellation simulations for Danish/Nordic Defence & Emergency
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agronomy, engineering, biology, technical oriented sciences or similar Research experience on process-based and ML models to simulate nutrient flows in agro-ecosystems Proficient skills with scripting (R
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to strengthen DTU’s research within solvent-based carbon capture by developing experimental and modelling insights into solvent CO2 interactions and process performance. You will work closely with colleagues in
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on this project, you will: Design and Model : Develop novel concepts for integrating photonic systems (e.g., laser-based, integrated optic components) with advanced microwave scattering/diagnostic