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research on shipping and port operational optimization, maritime decarbonization, data analytics, and the development and application of novel methodologies (including LLM-based prediction and optimization
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for supporting and optimizing the College’s financial systems environment, with primary responsibility for Workday Finance business processes, workflow optimization, testing coordination, reporting enhancement
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skills in modelling and optimization; and (c) be proficient in English. Applicants are invited to contact Prof. J. Z. Ren at telephone number 2766 6596 or via email at [email protected] for further
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pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle
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optimization of semantic communication in 6G multi-robot teleoperation scenarios. The candidate will investigate innovative approaches leveraging semantic communications, artificial intelligence, and emerging 6G
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Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
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energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system optimization models. Investigate how tabular foundation
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Research Associate to support research activities in additive manufacturing, computational design, biomaterials, and biomedical engineering. The role will focus on the design, fabrication, optimization, and
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mathematics, optimization, and emerging quantum technologies. The successful candidate will bring a strong understanding of military operations and decision-making and will be able to translate complex
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NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form