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: Design and train vision–text transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components
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for the independent conduct of a significant element of a larger research activity in algal and seaweed biotechnology, computational biology, and genetics aimed at developing platforms for generating valuable
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for the independent conduct of a significant element of a larger research activity in algal and seaweed biotechnology, computational biology, and genetics aimed at developing platforms for generating valuable
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one of the nation's foremost research universities, and as such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives. Connections working
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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, intraoperative video, OR traffic signals, EHR data, and patient/surgeon surveys with explainability and equity at its core. Among the key duties of this position are the following: Design and train vision–text
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on the MobilityNet project funded by the NSF (https://www.nsf.gov/awardsearch/show-award?AWD_ID=2411151 ). The objective is to assess the suitability of the tools being developed for transportation planners. This will
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brain development and behavior. The Postdoctoral Associate is expected to maintain a high level of communication with the PI and will manage the day-to-day operations of the lab, including the training
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(clinical, laboratory, demographic), using Tableau software for creating and maintain dashboards, routine data management tasks for data transmitted from the international sites, manuscript development
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used; the Framework for Assessment of Changes To Sea-level (FACTS; https://www.fact-sealevel.org/ ), an open-source sea-level projection framework initially developed by the lab, supported