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applications at the intersection of statistical mechanics, multiscale simulation, and machine learning. The successful applicant will be appointed through the Chemical and Biological Engineering Department
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team for an exciting NSF-sponsored project. This research focuses on the integration of spatial computing, AI/machine learning, data science, and human factors engineering to advance our understanding
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. The project will focus on research and development of advanced machine learning and deep learning algorithms to analyze large quantities of multimodal images and data arising from the Advanced Plant Phenotyping
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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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: · A doctoral degree or equivalent in an appropriate field (e.g., neuroscience, psychology, computer science, machine learning, or engineering). Excellent scientific writing ability and strong
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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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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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single-cell transcriptomic data. The candidate should be proficient in, or highly motivated to learn cancer data science, machine learning, and high throughput sequencing analysis. Successful applicants
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to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more
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engineering, applied mathematics, physics, or related field with an evidence of understanding nuclear nonproliferation and/or the nuclear fuel cycle. Experience applying machine learning techniques to problems