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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics School of Biosciences PhD Research Project Self Funded Prof Dylan Childs Application Deadline
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Online Course Developer – Time Series Forecasting and Operational Analytics Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University Compensation
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Bridging Causality and Forecasting in Space Weather: A Transparent Complex Systems Modelling and Interpretable Machine Learning Framework School of Electrical and Electronic Engineering PhD Research
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Assistant/Associate Professor in AI for Environmental Modeling/Forecasting Bookmark this Posting Print
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PhD Studentship: Real-Time River Water Quality Forecasting through Integrated Hydrodynamic and Surrogate Modelling Award Summary This studentship provides a tax-free annual living allowance
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Master's thesis on the development of a forecasting tool using AI in the field of welding technology
The Fraunhofer-Gesellschaft plays a central role in the innovation process by focusing on key technologies of relevance to the future and on the utilization of the results in business and industry. As a trailblazer and driving force for innovative developments and scientific excellence, it helps...
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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the Intelligent Automation Lab (IALab, MC503) focused on the development of a robust and trustworthy forecasting and optimization agent for engineering applications. The role is research‑intensive and involves