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Field
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empirical methodologies and models Collecting, managing, and structuring quantitative datasets Conducting statistical analyses of complex datasets and interpreting results Report writing and manuscript
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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universities and over 30 industrial partners. At the University of Southampton, our team contributes expertise in reaction engineering and kinetic modelling for catalytic, photocatalytic, and sustainable
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connectivity. You will also be in an excellent position to use your expertise in geospatial data analysis, statistical modelling, and/or ecological modelling to produce high-impact, open-access peer-reviewed
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models for cross-country and global monitoring, including linkages, spillovers, and macro-financial risks Applications of large language models and text-as-data methods to extract signals from news, policy
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for isolating milk proteins and characterizing their structure. We are particularly interested in exploring the functional properties of these proteins using mammalian cell line models. Position Overview The Food
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decision modelling This is a full-time fixed-term position until 31 March 2027, and subject to funding an extension is anticipated. Applications for part-time will be considered, please indicate this in your
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Fellow in Hydrology and Water Resources. The successful candidate will conduct advanced research in hydrologic modeling, flood forecasting, extreme weather, snow observation, soil moisture data analytics
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will engage in research projects spanning Business Model Transformation, Operating Model Transformation, Organizational and Workforce Transformation, Performance and Metrics, Data Privacy and