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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
Staff (SHRA) Position Title Research Technician Position Number 20073269 Vacancy ID S026200 Full-time/Part-time Part-Time Temporary Hours per week 20 Work Schedule Monday – Friday, 8:00 AM – 12:00 PM
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented post-doc
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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distributed quantum computing. The center includes other quantum faculty, and conducts a wide range of collaborative quantum research in the areas of quantum computing, quantum algorithms and complexity
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for STEM education, developing or updating curriculum for robotic learning. The project works on the development hardware & software for the robot, design the algorithm with the embedded, computation sensors
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for: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software
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of the state of the art in Evolutionary Algorithms and Large Language Models. Survey of the state of the art in Evolutionary Algorithms applied to Large Language Models. Implementation of an evolutionary
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distributed quantum computing. The center includes other quantum faculty, and conducts a wide range of collaborative quantum research in the areas of quantum computing, quantum algorithms and complexity
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: Course number and title: MIE1622H – Computational Finance and Risk Management Course description: The objective of the course is to examine the construction of computational algorithms in solving financial