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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) and radiomics preferred
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generation of scientists trained in interdisciplinary collaborative approaches. The Faculty Research Assistant will work with professors, postdoctoral fellows, graduate students, and undergraduate volunteers
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., deep learning methods, multimodal AI) for the automatic identification of behavioral cues during ecological interactions with people and the environment and analyses of video and speech/language data
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statistical approaches, including the use of AI and machine learning approaches to analyze large datasets. Demonstrate a deep understanding of and commitment to research of health disparities, including
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Expertise: Familiarity with supervised/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g
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. The primary objective is to develop computational methods, using deep learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted
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Regenerative Medicine Postdoc Appointment Term: 1 year initially and renewable. Appointment Start Date: Immediately available but flexible Group or Departmental Website: http://www.liwanglab.org (link is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep-learning approaches for insight and analysis about mouse behavior from video * Machine Learning: use your
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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department