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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 6 days ago
associations in Oceania, Africa, Latin America, Southeast Asia, the Pacific Ocean, and the Mediterranean basin. An appealing opportunity The PhD candidate in Economics will conduct an in-depth study of
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Do you want to shed light on place-based health inequalities and contribute to improving the health and wellbeing outcomes experienced by rural, coastal and remote communities? Applications
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into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic
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programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication skills, and excellent English. Relevant
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quantify these changes, identify their causes and describe their impacts on biodiversity and ecosystem services. To do this we use a combination of diverse methods, from empirical research to remote sensing
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. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing
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-term contract is based on § 2 WissZeitVG. Your Tasks: You will conduct research in the field of experimental atmospheric physics, with a focus on optical remote sensing of the atmosphere up to the edge
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tasks The AI:GeoComm Lab invites applications for two PhD positions, each contributing to the shared goal of developing advanced AI-enhanced atmospheric sensing and communication reliability. The lab
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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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this framework, we are looking for a motivated PhD researcher who will work across KU Leuven and the University of Essex, at the interface of urban ecology, remote sensing, environmental epidemiology and data