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working at University of Houston More Jobs from This Employer https://main.hercjobs.org/jobs/21900191/post-doctoral-fellow-big-data-algorithms-group Return to Search Results
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candidate will focus on implementing efficient and scalable data storage modes for large-scale mass spectrometry (MS) data and on development of improved and interactive visualization of MS data. In addition
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by: 25/11/2025 Are you looking for an opportunity to create significant impact and influence across a new large data set? We are offering a unique opportunity to drive the development, capture and
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large data set? We are offering a unique opportunity to drive the development, capture and iterative improvement of both a large data set model, and the techniques to generate informative report-based
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; Experience with large language models; Experience with the management and analysis of climate and/or health data; Be willing to work in an inter-disciplinary project team within a highly collaborative research
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locally, in the cloud and in the Galaxy workflow system. The successful candidate will focus on implementing improved data representation and storage modes for large-scale mass spectrometry (MS) data
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17 Sep 2025 Job Information Organisation/Company ERATOSTHENES CENTRE OF EXCELLENCE Department Big Earth Data Analytics Research Field Computer science Engineering » Computer engineering Computer
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11.07.2022, Wissenschaftliches Personal The professorship “Big Geospatial Data Management” is seeking to fill two research assistant (E13) positions to support research activities around geospatial
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: To conduct independent research in large language model. To produce publications in top
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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 5 hours ago
on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine