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experience of Astropy. Experience manipulating large, diverse and complex data sets. Experience with large databases. Required Documents Full resume or CV. Cover letter. List of three professional references
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information on the protection of personal data: https://port.lukasiewicz.gov.pl/en/data-protection/ Information about candidates applying for the above role is public information in the scope covered by
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- 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteEmpaCountrySwitzerlandCitySt. GallenPostal
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
descriptive, multivariate, and longitudinal data analysis using licensure data and large secondary population data sources. * Perform geospatial analysis including translating practice addresses to maps and
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benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home Digital Services Directorate is responsible for delivering innovative, secure and high-quality digital
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20 Dec 2025 Job Information Organisation/Company CNRS Department Institut de physique de Rennes Research Field Engineering » Materials engineering Physics » Acoustics Researcher Profile First Stage
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the bachelor’s programmes at the Department of Chemical Engineering. In addition, you will conduct research and teach innovative approaches to solving problems in chemistry and process engineering using big data
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well as providing general care to ensure their overall welfare. You will also evaluate the condition of animals, collect and record health data, and help maintain a clean, safe, and sanitary environment. In
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk