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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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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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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
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an optimal AI approach to quality control of water level observations collected by tide gauges. Develop new AI based methods for bad data detection, gap filling, assessing and documenting performance
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development/engineering skills. · Mathematical proficiency, with a focus on subjects including linear algebra, vector calculus, optimization, and statistics/probability. TO APPLY: Please visit https
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, optimization and the modeling of critical infrastructure (gas pipelines and electrical grids). These application areas are tied together by research in novel algorithms, numerical methods and machine learning
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infrastructure; 2) network level optimization for transportation decarbonization, energy supply, and resilience planning. Certifications/Licenses Required Knowledge, Skills, and Abilities The successful candidate
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combination of skills and abilities: A solid skill set in molecular biology, such as assembling multi-genes in an expression cassette, codon optimization systems for optimal functional expression in planta
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deployment, monitoring, and optimization of complex scientific data streaming workflows for current and future production infrastructures. The project will involve close collaboration with a team of systems
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Carolina at Chapel Hill invites applications for a Postdoctoral Research Associate position in astronomical data pipeline development supporting the upcoming Argus Array, with a focus on optimizing image