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and Optimization of the Systems (LIMOS) is a mixed research unit of Université Clermont Auvergne and CNRS. Its research activities are spread among three axes: models and algorithms to support decision
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ready for encoding. Via a mixture of archival research, interviews, and participant observation, the project investigates how technical decision-making intersects with language policy and authority in
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decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more efficient and reliable
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are invited for a Postdoctoral Researcher position in data analytics and spatial decision support systems. The goal of the project is to develop an aeromedical dispatch management software as a technology hub
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The Computer Science Department invites applications for postdoctoral research or more senior research positions to work on an interdisciplinary project exploring decision-making in humans and AI
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theories. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and
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and institutions across the global agri-food system can influence farm-level nutrient management decisions. The ideal candidate has training in, or a strong commitment to, interdisciplinary
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well as failure to submit or late submission of the documents, referred to in points 2.1 and 2.2, will lead to the disqualification of the application. Candidates will be notified of the exclusion decision by e
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that inform urban planning and public investment decisions. • Adaptation Finance: Examining how insurance markets and public finance mechanisms influence the efficiency and equity of climate adaptation efforts
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of the documents, referred to in points 2.1 and 2.2, will lead to the disqualification of the application. Candidates will be notified of the exclusion decision by e-mail, for the hearing of interested parties