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Health to work on a large multi-organisation project called Development of a Soil Health Framework for Australian agricultural production systems which is funded by the Grains Research & Development
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
11 Dec 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United
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large, multi-site human cohorts in Europe. The successful candidate will oversee the collection, processing and analysis of microbiome samples, ensuring harmonised protocols, high-quality data generation
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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oceanography with demonstrated strengths in large data analysis, multivariate statistics, acoustic theory, and optical theory. The position will be primarily located in the Lewes Campus of the University
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Postdoc position to support international research and capacity-building projects employing elect...
of large-scale EM data for groundwater mapping. Teaching and training of Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological interpretation
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to analyze human gut microbiome data from large cohorts. Responsibilities Microbe-microbe and host microbe interaction analysis in multiple cohorts (n=2500) Evaluate differential fitness of specific strains in
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experiments. Evaluates, selects, and applies standard techniques and procedures. Research Data Collects, compiles, organizes, and analyzes data. Documents, summarizes, and interprets results. Maintains
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of therapeutic genomics, leveraging large-scale functional genomic datasets and cutting-edge computational resources, including university HPC clusters and AWS. The post-holder will advise colleagues on data
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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