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. This project looks to accelerate the design of smarter occupant-centric building control algorithms that learn user behavior, are easy to use, and can correctly predict HVAC performance and power draw
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functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
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the Writing Center, PhD Network, Digital Integration Teaching Initiative, Center for Advancing Teaching and Learning Through Research (CATLR), and the Office of Faculty Development (ADVANCE). We welcome
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researchers and industry partners to advance the project goals. Qualifications: PhD in Civil Engineering, Structural Engineering, Mechanical Engineering, Architectural Engineering, or a related field, with a
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in applicants who use advanced quantitative methods (e.g., longitudinal models, computational modeling, machine learning).. Specific activities may include managing/preprocessing/analyzing behavioral
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; econometrics and causal inference; determinants of human behavior; ensemble forecasting; Bayesian deep learning; generative artificial intelligence; etc. The successful candidate will also have the opportunity
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association with other team personnel 3. Training and mentorship of interns and graduate students affiliated with the proposed research efforts Qualifications The candidate must have completed their PhD
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learning, and other predictive analytics to help the U.S. make more informed decisions during future outbreaks of infectious diseases. Responsibilities Assist in initiating, executing, and completing
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different research institutions, healthcare systems, and private companies that will use a variety of tools including wastewater surveillance, AI and machine learning, and other predictive analytics to help
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science, complex systems, machine learning, visualization, geospatial analysis or related field. PhD is required by the start of the appointment. Programming (Python, R), statistics, and data science skills