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Postdoc Position in AI Foundation Models for Crop Microbiomes Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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biogenic particles; the effects of fronts, eddies, upwelling, and other mesoscale processes on biological communities; applications of remote sensing integrated with in situ observations, numerical modeling
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Requisition Id 17142 Overview: We are seeking a Postdoctoral Research Associate who will focus on urban-scale energy modeling. This position resides in the Grid Interactive Control Group in
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, meteorological, and environmental datasets across the Gulf Coast. Intergrade remote sensing approaches and AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
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PostDoc in aerobiological modelling Are you interested in atmospheric science and can you contribute to the development of a new generation of numerical models describing concentrations and
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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P promotes transdisciplinary
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management by developing technologies that serve plants, people, and planet. By integrating data from plant sensors, production systems, and environmental conditions into advanced models and dashboards, we
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(NSSD). In this role, you will conduct fundamental research into the integration of Bayesian methodologies with system dynamics modeling, advancing statistical methods and the open-source scientific
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management
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to research and teaching in Biochemistry and Molecular Biology, Physiology, Neuroscience, Ecology, Environmental Science, Plant Biology, and Organismal-environment interactions. We offer bachelor’s degrees in