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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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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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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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healthy aging in families, and 2) the prediction of health outcomes in the general population using molecular, socioeconomic, and environmental data. You will work with very large, globally unique registry
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on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data
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modeling. Brief Description of Duties: The Postdoctoral Associate will assist the Principal Investigator Dr Fang Luo in the Department of Electrical and Computer Engineering . The incumbent will conduct
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applied mathematics, physics, computer sciences or social sciences with outstanding skills in quantitative methods ; - Provable experience working with social media data, specially very large datasets (we
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14 Nov 2025 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Electrical and Information Technology Research Field Engineering » Electrical engineering
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that promote inclusivity, fairness, and productive discourse online. We seek a candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running