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developed to transfer information from the pangenome variation panel to large mapping populations through imputation so that association testing between complex traits and SVs will eventually be possible
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data science techniques to the analysis of large data sets. Areas of relevant expertise include design and development of statistical and mathematical models of data, data transformation, ETL and
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learning which clearly integrates the two subject areas within the division. For more information about STIMA, please see https://liu.se/en/organisation/liu/ida/stima The project will be carried out in a
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contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers RMIT is an equal opportunity employer committed
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 minutes ago
Experience * Proficiency in analyzing functional magnetic resonance imaging data. * Demonstrated skill in manuscript preparation, managing large datasets, multivariate analytical approaches, and/or
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of Engineering is seeking to hire a Post Doctoral Associate to conduct research in large-scale flood risk analysis. New York University (NYU) is one of the top private universities in the United States, and the
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information of up to two references (will be contacted during the hiring process) Sample of best works of the candidate (e.g. publications or PhD thesis). Additional comments Application deadline is May 31
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. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data
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sustainability assessment tasks in agri-food systems with IoT-data Data lakes and Large Language Models. PhD grantors: Aarhus University (DK) & Université Libre Bruxelles (BE); keywords: data lakes, LLMs
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programming, and research design. They will have the opportunity to work across fields such as economic sociology, organizational theory, and labor relations, using data that ranges from large-scale