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, Montana. The USGS mission is to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and
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, biostatistics, statistics, machine learning, artificial intelligence, computer science, health data science, public health, medicine with strong quantitative methods, or a closely related field. The doctoral
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scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. Acquires Specialized Training. Attends trainings and skill development
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab) School Harvard Medical School Department/Area Position Description Our Lab Join our team of researchers, engineers, and
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by Jul 27, 2026: The University of Notre Dame invites applications for a Postdoctoral Research Fellow with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
learning and disease mechanisms. These positions are embedded in the transition from CeMM in Vienna to the newly founded Cori Institute of Molecular and Computational Metabolism of the Austrian Academy
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employment and the consequences of use. The post-doctoral fellow will apply physics, engineering, and advanced computational techniques, such as machine learning and data science, to provide technical subject
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Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high
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) Application Deadline 6 Aug 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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curation, orthology inference, phylogenomics, functional annotation, and candidate gene prioritisation across crop species. The selected candidate will develop the computational tools for comparative