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, organismal, or systems-level immunology, including in vivo models, advanced imaging, single-cell or multi-omics methods, or computational immunology. The successful candidate will be expected to establish
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and cell biology and animal models to study aging, physiology, and pathology within individual organs, and laboratories focused on exercise, lifestyle, and behavioural interventions to improve
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such as multimodal and single-cell imaging, translational neuroimaging, high-throughput metabolomics, proteomics and genomics, pre-clinical biotherapeutic production, pre-clinical modeling and animal
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renewable energy and consumer electronics to drugs. AC Staff Scientists will advance the field of AI-driven autonomous discovery and develop the materials and molecules required to address society's largest
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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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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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. 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