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chemistry, AI-assisted modeling and simulation of nuclear energy systems, nuclear safety and waste management, and hybrid nuclear-renewable systems. The successful candidate will have an established
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, thermodynamics, and processing, nuclear chemistry, AI-assisted modeling and simulation of nuclear energy systems, nuclear safety and waste management, and hybrid nuclear-renewable systems. The successful candidate
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. Issues such as climate, building size, energy modelling, third party certification, and life cycle analysis will be discussed, so that current green building practice can be put into context. The various
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Teaching Allocation Percentage (TAP) 50 Anticipated Start Date 9/3/2026 Position End Date (If Applicable) DUTIES Energy modeling is a well-established field widely used in estimating the energy consumption
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permafrost regions. By combining field data with mathematical and physical modeling, this international project aims to advance our understanding of the impacts of permafrost thaw beyond ecological tipping
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focus on memory and social cognition. Experience with multi-level analytical models is preferred. Furthermore, the candidate must have demonstrated proficiency in Psychopy, Matlab, R, E-Prime and Tobii