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focuses on detecting underwater acoustics using AI methodologies. Additionally, CFD simulations combined with physics-informed machine learning will also be examined. Several research and industrial
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simulation experience (e.g. CFD/aerothermodynamics, TPS/thermal-structural, trajectory/6-DoF). PM certification such as Project Management Professional certification (PMP), Certified ScrumMaster (CSM) or other
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian ERI@N is seeking an experienced and motivated Research Associate to join
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technology for the green transition, marine hydrodynamics, hydrodynamic waves, and continuum mechanics. This project focuses on detecting underwater acoustics using AI methodologies. Additionally, CFD
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at the university level; Expertise in CFD software (OpenForm, Ansys Fluent) andFEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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the different partners in the European project, in particular also with the research partner at the Royal Military Academy in Belgium, who is doing the Computational Fluid Dynamics (CFD) simulations to estimate
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(CFD) simulations. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: https://www.aoe.vt.edu/people/faculty/liselle-joseph.html. This role offers