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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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) for science with Dr. Aleksandra Ciprijanovic (alexciprijanovic.com) and her research group! The successful candidate will join a multidisciplinary team working at the intersection of deep learning, cosmology
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. • Demonstrated ability to independently lead complex technical projects and collaborate across disciplines. • Demonstrated expertise in machine learning, deep learning, statistical modeling, and AI system design
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: Project Scientist Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is looking for a highly motivated Postdoctoral fellow to work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (http://miaolab.org ) is looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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Employer https://main.hercjobs.org/jobs/22174438/assistant-associate-full-project-scientist-machine-learning-data-analytics-advanced-bioimaging-center-department-of-molecular-and-cell-biology Return
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework