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usage, memory and storage demands, and associated carbon emissions while aiming to maintain model quality. Your work will include developing new methodologies and algorithms for resource-efficient
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reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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of particle-handling systems for the space environment, including the development of robust design criteria · Couple physics-based models and numerical simulations with optimization algorithms
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
, automated reasoning, and the development and evaluation of algorithms and software systems that advance these practices in support of artificial intelligence. Minimum Education and Experience Requirements
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managing supercomputer resources Strong skills in algorithm development for large sparse matrices Excellency in programming GPU accelerators from all major vendors Very good command of written and spoken
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role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED’s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr
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learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software
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. The research will focus on developing security frameworks for next-generation networks, with emphasis on preventing data leakage and inference attacks in multi-stakeholder environments. The candidate will have
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: https://remik24-web.github.io/QT-website/ The candidates are welcome to inquire about the project details, research agenda and organizational issues. The questions should be sent by email to R. Augusiak