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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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, use of microscopes, data acquisition, inverse problems in imaging, optimization methods and image estimation and in particular knowledge in methods for super resolution structured illumination
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Vision is to use scientific discovery to ensure optimal health through individualized nutrition. Everyone who works at the NRI supports this hopeful vision. Working at the NRI means doing good
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techniques such as cloning, PCR, mutagenesis, DNA extraction, gel electrophoresis 4. Knowledge of protein/antibody discovery and optimization using in vitro display (such as phage or yeast) technology 5
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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 | 2 days 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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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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- Effective oral and written communication skills and a demonstrated publication record - The ability to carry out experiments independently, including troubleshooting, optimization and reporting results Pay
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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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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