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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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generation of atomic structures and training of machine learning interatomic potentials (MLIPs) in a way that maximizes the capability of high-performance computing (HPC) platforms available in the Oak Ridge
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quantitative, experimental, and computational approaches, leveraging powerful machine learning algorithms and extensive characterisation techniques. This research project will be carried out at University
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Position Title: Postdoctoral Research Associate in Watershed Hydrology and Water Quality Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: We are seeking a
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be responsible for designing and implementing physics-informed machine learning strategies for identifying constitutive laws in granular media. This includes the development of thermodynamically
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artificial intelligence for science, knowledge-guided machine learning, and scalable scientific AI workflows. The successful candidate will conduct research at the intersection of machine learning, high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
Position Title Post-Doc Research Associate Vacancy ID PDS004991 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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routine background checks. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms
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experience in analyzing and integrating complex large-scale datasets and extracting biological insights. You have experience with advanced computational and statistical approaches, ideally including machine