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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 1 month ago
hydrology and social geography. Proficient in geographic information systems (GIS) and spatial data analysis. Experience in workshops organisation Good French speaking and reading capacities and good English
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monitoring using SAR and multi-spectral images, GIS, scientific programming - English proficiency, team work, reporting, redaction of scientific publication, organization and project management
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, organized into geolocated databases within Geographic Information Systems (GIS), allows us to renew our understanding of the urban fabric's evolution over time, not only for parcels but also for buildings
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FieldEnvironmental scienceYears of Research ExperienceNone Additional Information Eligibility criteria PhD Thesis in population ecology Skills in data analysis, GIS data and database management Skills in writing
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Eligibility criteria * Fieldwork in North African context; knowledge of Arabic would be appreciated * Organization of scientific events (e.g., study days) * Scientific writing * GIS skills * Photography skills
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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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Heudiasyc laboratory (UMR CNRS 7253), computer engineering department (GI), as part of the ANR Succen project. Your responsibilities · Conduct energy measurement campaigns · Develop a smartphone application
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potentiation triggered by the activation of Gi/o protein-coupled receptors (like GABAb and µ opioid ones) that are unique for the central nervous system. Activation of these receptors on MHb axonal terminals
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research engineer for the Heudiasyc Laboratory (CNRS UMR 7253), Department of Computer Engineering (GI). This project is funded by the Hauts-de-France Region. Mission Study and experimentation of cooperative
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Additional Information Eligibility criteria Technical skills: proficiency at ecological modelling, use of the Unix/Linux environment, proficiency at oceanographic data repositories and GIS tools, good