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for soil application, and be an enthusiastic individual with a strong aptitude for teamwork and collaboration, comfort with failure, patience, eye for detail, tenacity, unshakable optimism, and keen sense
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on the integration of systems for optimized energy consumption, generation, and storage in the built environment at multiple scales. Our research focuses on efficiency, decarbonization, resiliency, affordability
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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine
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include: i) resolution of the dynamics and evolution of the primary and secondary atomization zones with a view to optimize and control spray formation processes. The e-fuel blends will include miscible and
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proposals for postdoctoral fellowships. 5 % 5. Present research findings at local and international conferences. LEVEL OF DECISION MAKING: The postdoc will design and optimize experiments, particularly
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bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models, applying them to diverse bacterial use cases, and contributing to the development
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porous materials for CO2 hydrogenation reactions using photo- or thermal catalysis. The successful candidate will be involved in optimizing the synthesis process, with experience in photo-catalysis
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engineering or equivalent field and 0-2 years of research experience. Background in quantitative analysis, mathematical modeling, data science and simulation techniques with expertise in optimization techniques
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
oncology by pursuing two main directions: (1) leveraging clinical and multi-omics data to generate hypotheses, uncover novel cancer vulnerabilities, and optimize therapeutic strategies, and (2) developing AI
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric