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programme Reference Number AE2025-0605 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0605
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, developing professional reports and assist with preparing manuscripts for broader dissemination. Minimum Education and Experience Requirements Masters degree in Computer Science or foreign equivalent, and two
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in the Ph.D. Program in Physics. Applicants must also apply to the Visiting Scholar position in the Center for Computational Quantum Physics (CCQ) posted on the Flatiron Institute’s website at: https
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Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility
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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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computational time, and receive financial support for conference attendance and travel. For more information about careers at the Flatiron Institute, please visit https://www.simonsfoundation.org/flatiron/careers
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access to a robust program of applied research and outreach hosted by the New Jersey Agricultural Experiment Station laboratories, farms, business incubators, and marine stations throughout the state
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. Where to apply Website https://apply.uc.pt/ Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent Research FieldEngineering » Electronic
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Regulations. Where to apply Website https://apply.uc.pt/ Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent Additional Information Work Location(s) Number
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding