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cloud computing tools and big data workflows A track record of completed research projects Well-written, peer-reviewed papers are expected Interest in using EHR metadata, wearable sensors, and process
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is $76,383. The Water & Energy Efficiency for the Environment Lab (WE3Lab) seeks an entrepreneurial Postdoctoral Scholar with a vision for the coordinated operation of water and electricity grids
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research experience. Research track record should be demonstrated via prior publications in relevant venues in psychology, cognitive science, education, or human-computer interaction. Knowledge and expertise
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language processing (NLP) to augment clinical decision-making and expand access to high-quality healthcare. Our lab develops new methods to improve model trustworthiness and leverages heterogeneous clinical data
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the interview process. Mentorship Structure The postdoctoral fellow will be supervised by Prof. Sarah Fletcher and will collaborate with other members of the lab. Mentorship of the postdoctoral fellow will be
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes
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psychological change processes. The lab develops and uses novel longitudinal methods to articulate and examine how individuals change over time (and with age), and how various individual characteristics
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research design and/or data analysis exercise as part of the interview process. Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range
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process may be asked to submit additional materials, including letters of recommendation, and may be invited to interview.) Complete applications will include: Cover letter explaining your interest in