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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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, behavioral, clinical, genetic, and proteomic data. Prepares documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods. Assists the team leader in
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and molecular simulation experience. A solid background in simulation algorithms and experience in advanced scientific computing are highly desired, as is a solid background in chemistry or biophysics
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optimization under uncertainty, constrained query evaluation, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms
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closely with a small, dedicated team, you will: Design and implement SLAM-based navigation algorithms for GPS-denied forest environments (45%) Develop multi-sensor integration software for LiDAR, cameras
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, Experimental Research, Game Theory, and Artificial Intelligence. Some of the research topics that excite us as a group include: (i) Ethics of AI and Automation; (ii) Social Media Analysis (iii) Algorithmic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
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genetics and genomics, with expanded interests in computational biology, functional genomics, and neuroscience. Example projects within the university and with external partners: • Noncoding Variation in
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algorithms for inferring multi-modal, condition-dependent networks from datasets with millions of samples (cells) between tens of thousands of nodes (genes and genetic features). Design robust evaluation