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dissemination in the field of contemporary history with a particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting
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dissemination in the field of contemporary history with a particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting
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described below? Are you our future colleague? Apply now! Your duties may include: Algorithm Development: Evaluate, select, and apply advanced scientific methods to create data applications, dashboards, and
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-to-day operations such as user training (both basic and advanced), experiment setup, method development, maintenance, scientific vigilance…, there will be ample opportunity to define and manage as
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methods to create data applications, dashboards, and predictive models. Define and implement specialized metrics and indicators for sectors like energy transition, urban logistics, mobility, and climate
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PhD topic related to the project Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email
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advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and deep learning. He/she will support the development of an improved forest RTM that can
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and uncertainty mapping at satellite, airborne and drone levels. You will explore advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and
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dissemination in the field of contemporary history with a particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting
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research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km