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high-resolution satellite imagery and in-situ observations. A key innovation of the project is the “Forecast-in-a-Box” concept, where machine-learning forecasting models, satellite data, and
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, land-use change, and environmental dynamics. • Design and implement spatial analytics and geospatial modeling approaches to analyze urban environmental processes. • Apply machine learning and
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metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical
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enable physics-informed AI agents that accelerate discovery in catalysis science. The successful candidate will focus on the development and application of machine learning and AI approaches to analyze
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inhouse developed long-acting GLP-1 receptor agonist, Efsubaglutide alfa , has achieved regulatory approval and market access in China representing a major milestone in biologics innovation originating from
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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span
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18 Months, Fixed Term, part-time Post The FirstDrops project is an interdisciplinary, design-led research programme focused on improving antenatal colostrum collection and hand expression practices
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of oxygen and Earth’s first global glaciation about 2.4 billion years ago. Key responsibilities: design, run, and analyse equilibrium and transient simulations with a coupled Earth-system model
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out research in line with the project plan. The successful candidate will conduct hands-on empirical research that embraces both experiments and modelling. Working closely with academic colleagues and