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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
of North Carolina-Chapel Hill. It is based in the Gardner Lab and focuses on hydrology, geomorphology, and carbon dynamics across the floodplain-large river-estuary continuum. The postdoctoral researcher
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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effects in pediatric cancer. Collaborate with other researchers to better understand the complex interactions between health determinants and disease outcomes. Extract and analyze large datasets
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huge data storage capacity to accelerate the research performed in intensive computing and large-scale data analytics (Big Data). This characteristic distinguishes the HPC center at the university from
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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well as on practically and industrially relevant research problems Extensive training and possibility to learn the cutting-edge experimental and data analysis methods. Access to world-class international large scale
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perovskite thin films applications using slot-die coating and other large-area deposition methods. Analyze experimental data to optimize material and device performance, write scientific reports, and publish
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing
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of large strain (antigenic) diversity, network descriptions of strain structure, and implications for resilience to perturbations. We are also more generally interested in extensions of this work to other