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Entitlement: 33 days annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling
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and observables outside the training dataset. Task 4 - Integration of the trained TBNN model into the open-source CFD software, OpenFOAM. Perform a series of simulations to validate the trained TBNN
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian The Energy Research Institute @ NTU (ERI@N) is seeking to hire research
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must have skills and previous experience in non-Newtonian fluids mechanics, OpenFOAM, and programming languages like C++ and MatLab. 8. Recruitment method: In accordance with articles 26
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prior knowledge and experience in fluid mechanics, for both steady and unsteady flow behaviours Relevant experience in both commercial (ANSYS Fluent preferably) and opensource CFD code (OpenFoam
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microclimate simulations with state-of-the-art tools (e.g., ENVI-met, SOLWEIG). High proficiency with parametric design environments and environmental analysis tools (e.g., Eddy3D/OpenFOAM, ClimateStudio
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simulation platform OpenFOAM. The main supervisor of the candidate will be Prof. Ann Mari Svensson (IMA), NTNU. Co-supervisors will be Senior researcher Kristian E. Einarsrud (SINTEF) and Researcher Kurian J
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), with the aim of improving the efficiency of scientific simulations in applications such as cardiac electrophysiology (MICROCARD: https://microcard.eu/index-en.html), fluid flow (NekRS, OpenFOAM), and