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of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data
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in support of a significant Department of Defense program led by Dr. James Stone, MD, PhD. The Stone Lab studies repetitive low-level blast exposure in military service members over their career
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in the fields of control and systems theory, cyber-physical systems, optimization, artificial intelligence, machine learning, and systems engineering.
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artifacts. Experience with 3D image data analysis and 3D image visualization. Experience with machine learning or deep learning-based segmentation algorithms. Experience with statistical analysis to interpret
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, beginning in the 2026-27 academic year. Qualifications Applications are invited from individuals who have earned a PhD (or equivalent) in Econometrics and Statistics and have experience on the tenure-track
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cities. A lab within the Institute is seeking an Associate Research Scientist who will implement original machine learning methods for collective inference of the truth of propositions from crowd
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environment The Neuroengineering Lab offers an interdisciplinary environment with expertise in mathematical modelling and analysis, CMOS design, machine learning, computational and experimental neuroscience, as
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/technology skills required, or possess the ability to easily obtain needed skills. (Microsoft Office, Canvas and/or other Learning Management Systems (LMS), variety of WEB based programs, etc.). Strong written
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processing techniques and machine learning methods to not only suppress interference but also leverage it to enhance sensor performance. The PhD student will play a key role in advancing these new radar signal
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for image reconstruction, segmentation, and disease detection; application of machine learning and computational methods toward biomaterial, drug, or biologic discovery and optimization. Other qualifications