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insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
computational tools to enable practitioners to solve problems in statistical and probabilistic analysis, modeling, optimization, and the evaluation of system performance. The faculty engage in fundamental
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by animal models that optimize for single causes or treatments, without reflecting the diversity and complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project
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. The objective of the research is to use machine learning methods to find models of ship trajectories and traffic patterns that can be used to detect anomalies and predict into the future. The basis for this is
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Lexington, KY Grade Level 08 Salary Range $19.00-30.09/hour Type of Position Staff Position Time Status Full-Time Required Education LPN Click here for more information about equivalencies: https://hr.uky.edu
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on diffusion and/or flow matching, that can rapidly adapt pre-trained models to new tasks and select optimally informative simulations at each stage in a design process. Collaborate closely with PhD students
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and backgrounds. We value a collegial environment and encourage interdisciplinary research. For more information about the Operations and Decision Analytics area, please visit https://www.stonybrook.edu
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: Manage system requirements, specifications, and interface control documents. Develop concepts for mission architecture, such as launch, spacecraft/payload design, and ground segment. Optimize the balance
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mathematical underpinnings of modern data science and AI. Areas of interest include, but are not limited to: Probability and statistics for data Science and AI Optimization, algorithms, and computational
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are not limited to: Probability and statistics for data Science and AI Optimization, algorithms, and computational mathematics Information theory and learning theory Other foundational areas