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Field
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synthesis and procedural world-building AI-assisted asset creation and semantic scene enrichment Synthetic data generation for perception and simulation Embedding real-time inference within rendering
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on persona-based social simulations for aiding policy design. Position Overview This research project will focus on building and evaluating novel LLM-based systems for performing computational social
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optical test setups and characterizing integrated photonic devices is highly desirable. Responsibilities Lead the design and simulation of silicon photonic devices, waveguides, mode converters, optical
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characterization, including transmission spectra, propagation loss, modulation efficiency, electro-optic bandwidth, S-parameters, and high-speed modulation measurements. • Perform photonic device simulation and
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at least one mainstream deep learning framework (e.g., PyTorch, JAX) • Expertise in (atomistic) thermodynamic, kinetic simulations or computational chemistry • Ability to independently design and
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design in real-time simulation environment (Typhoon HIL) and conduct real time simulation studies/experimentation. • Design and develop an intelligent and optimal switching strategies, control
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candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to Mao Xianwen ([email protected])
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classification. Simulations and selection effects (Lancaster University): lead the forward-modelling of the combined LSST+TiDES sample, and characterize its associated sample selection effects. This project will
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to simulate the thermo-hydro-mechanical behavior of Singapore soils and investigate the thermomechanical performance of geostructures. Publish high-quality research findings in leading peer-reviewed journals
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classification. Simulations and selection effects (Lancaster University): lead the forward-modelling of the combined LSST+TiDES sample, and characterize its associated sample selection effects. This project will