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. We're seeking someone with a passion for developing new algorithms, mathematical formulations, machine learning models, and robust systems that will help enhance the scene representation, understanding
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Institutes of Health. The focus is on using concepts and techniques from statistical learning techniques, signal processing, machine learning, information theory and nonlinear dynamics. Villanova is a Catholic
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-funded project to help improve early diagnosis of ASD by using cutting-edge tools from machine learning and computational ethology. Project Motor differences are one of the earliest markers of increased
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science, computational sciences, or mathematics is preferred. The successful candidate will need to have completed all PhD requirements by their start date. Knowledge required includes machine learning and statistical
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in Growth of Electronic Materials Description: The Department of Electrical and Computer Engineering seeks applications for a postdoctoral or more senior research associate for research in growth
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning
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We are seeking a Postdoctoral Appointee - Data Management Techniques for AI/Machine Learning. A candidate with expertise at the intersection of HPC and AI. Major efforts at Argonne in this direction
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along with experience in applying Artificial Intelligence (AI)/Machine Learning tools, OR a PhD in AI/Machine Learning with experience in plasma physics or other strongly coupled physical systems
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quantification. You will research and develop frontier analysis methods, including machine-learning approaches, for the accelerated interpretation of x-ray scattering data. You will develop multi-modal data
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we strive to be a welcoming, caring, and equitable community where students, faculty, and staff with different backgrounds, perspectives, abilities, and experiences can learn, innovate, and work in an