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(OpelRT or Typhoon), electrical system design for better efficiency and system resiliency, and energy management algorithm development using MATLAB/Simulink for marine microgrid applications. Knowledge
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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Geometry, Statistical Learning Theory, Statistical Inference, and Information Geometry. (2) Computing for AI: Programming Language Theory, Algorithm Theory, Combinatorics, Optimization Theory, and
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a technological infrastructure capable of efficiently integrating edge devices, AI algorithm pipelines for behavioral and postural analysis, and cloud services for centralized data, notification, and
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a technological infrastructure capable of efficiently integrating edge devices, AI algorithm pipelines for behavioral and postural analysis, and cloud services for centralized data, notification, and
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Computational Condensed Matter Physics and Materials Sciences o Theoretical and Computational Biophysics o Soft Matter Physics o Physical Chemistry and Theoretical Chemistry o Combinatorics, Algorithm, Extremal
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
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automation and simulation-driven optimization of high-frequency systems using machine learning * development of optimization algorithms and numerical modeling procedures * development of simulation models
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
including machine learning/deep learning algorithms, and collaboration with other members of the lab and affiliated groups. They will support administrative tasks on the team and work closely with other lab
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Reference Number AE2025-0526 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0526.pdf CALL FOR