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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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learning. The group studies how language models acquire, use, and communicate information, and how these systems can be evaluated and deployed responsibly in consequential settings. We are particularly
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Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Machine Learning Research Data Analyst, Ophthalmic Imaging, you'll play a
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. Through outstanding patient care, groundbreaking research, and exceptional education, we are advancing the future of behavioral health and developmental science. In this role, you will collaborate with
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with conducting research at the intersection of reinforcement learning and statistics. The primary responsibility of the candidate will be to advance statistical methodology useful for the design and
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to iteratively refine models and optimize experimental design. Collaborate with another postdoc in the NIH Center to use scientific machine learning (SciML) to automatically select mathematical models from data
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examining the impact of AI interaction on social cognition, emotional regulation, group collaboration, and collaborative learning using eye-tracking, physiology, EEG, and novel computational measures
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Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Postdoctoral Associate, you will join a collaborative and innovative research
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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communication. Ability to work effectively in a collaborative research environment. Preferred Qualifications: Experience with mouse behavioral assays and motor learning paradigms. Experience with two-photon