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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: Location Omaha, NE Requisition Number: 2026 - 052 Department Genetics Cell Biology & Anatomy 50000507 Business Unit(College
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of Health (LIH) is seeking a highly motivated Postdoctoral Researcher with specialized expertise in multi-omics data analysis. You will play a central role in analyzing large datasets from multiple large
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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, and microbial resource management. The work comprises the analysis of temporal dynamics of bacterial and archaeal communities, large-scale sampling and quantitative molecular analyses, as
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. Several UK groups, including Liverpool, are actively engaged in the R&D phase and will play key roles in construction, working closely with international partners. We are looking for candidates with a PhD
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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“big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental
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are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role
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project. The project is part of a large collaborative research effort involving Imperial College London, University of Bristol and three other groups at Cambridge. More information about the overarching