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Field
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train generative AI models are replicated and perhaps exaggerated in
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to work in the field of structural characterization of advanced materials using ex situ and in situ x-ray scattering and spectroscopy techniques. Required Qualifications PhD in Physics, Chemistry, or
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climate change. The research spans from small to territorial to planetary scales, all involving the modulation of matter in architectural or landscape construction. Current research projects include: (1
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(CNTFET) for ternary computing. Semiconducting CNTs are ideal for transistor channels due to their material properties and 1-D structure. With the continuous need of improving transistor performance, CNTFET
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. Experimental work could include the design, construction, and testing of prototype storage systems, while simulation efforts may focus on thermal modelling, system optimization, and safety analysis
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reports for community stakeholders (e.g., past participants, community partners). Expertise in advanced quantitative research methods to evaluate programming is needed. Also valuable is experience with
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of the art in mathematical and numerical modelling of CO2 storage? This might be the right position for you! About the project/work tasks: About the project TIME4CO2 TIME4CO2 aims at advancing simulation
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algorithms Significant experience and publication on AI and image processing Experience with foundation models, explainable AI and/or efforts to translate AI to routine use are emphasized Highly motivated with
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its Master of Computer Information Systems program and provides the program to online learners using this same “lecture capture” delivery model. The program has consistently been ranked as one