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(LLMs) for Pilot Simulation Training. This position offers an exciting opportunity to contribute to cutting-edge research and development in the aviation industry, with a focus on leveraging VR/AR and LLM
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Job Description The SRF is expected to: 1. Conduct independent and lead high quality research in the fields of Bayesian optimization, Simulation optimization, and simulation modeling
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Job Description Misinformation, encompassing false, inaccurate, and misleading information, profoundly impacts both individuals and society. As a longstanding focus of public discourse and
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. • Substantial experience in numerical simulations based on Lattice Boltzmann method and immersed boundary method. • Good knowledge in computational fluid dynamics, and coding skills
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optimizing the scalability of the devised controllers in city-wide simulation scenarios involving both vehicles and pedestrians, using a microscopic simulation software such as SUMO or VISSIM
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. • Substantial experience in numerical simulations based on boundary integral method, finite element method. • Good knowledge in computational fluid dynamics, and coding skills in
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manufacturing, Finite Element Simulation, Materials mechanical, and functional properties characterisation, etc • Experience related to materials development and characterisation for ceramics, polymer
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-driven and AVs. • Testing and optimizing the scalability of the devised controllers in larger scenarios in simulation. • Designing and implementing controllers on hardware to obtain
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required that the applicant attaches a concise research portfolio to the resume to showcase research work as well as a copy of relevant research publications. Qualifications • Possess or about to receive
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strategies for wind and solar generations under grid disturbances. • Designs will need to be validated using numerical simulations and hardware experimentation. • Applicants with experience and expertise