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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
the possibility of reappointment for an additional year. It will involve developing, implementing, and validating novel algorithms for analyzing SWOT data; writing scientific papers; and presenting research
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for hypersonic wind tunnels, under the direction of Dr. Samuel Grauer. Job Duties: Include refinement of the neural-implicit LAT (NILAT) algorithm. Hardware design. Deployment at NASA facilities. The role combines
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addition to an interest in conducting collaborative research within the focus area of the project, all applicants should demonstrate some knowledge of social media research and social media algorithms, experience with
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training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
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assimilation and machine-learning techniques, (b) process understanding of the neighborhood risk of heat waves and fires associated with the change of weather pattern, and (c) novel algorithm development
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Location: Luxembourg, Luxembourg 1511, Luxembourg [map ] Subject Area: Quantum LDPC codes with efficient decoding algorithms Appl Deadline: none (posted 2025/08/05) Position Description: Apply Position
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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interdisciplinary teams to apply developed algorithms to real-world datasets and generate valuable biological insights. Perform integrative analyses of multidimensional datasets within the context of basic immunology