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of Technology of Compiègne (UTC) is seeking an algorithm chain development engineer to join its Applied Mathematics Laboratory (LMAC) - Computer Engineering Department (GI), as part of the ANR INCA project
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of GIS, conceptual modeling, and multivariate statistical tools. Thorough knowledge of Martinique's coastal environments and of watershed–coastal zone interactions in an island context. Interpersonal
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Description The University of Technology of Compiègne is recruiting a contract researcher for the Heudiasyc Laboratory (UMR CNRS 7253), Department of Computer Engineering (GI). The project aims to equip mobile
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris 15, le de France | France | 7 days ago
Expertise in Geographic Information Science (GIS), including proficiency with ArcGIS Pro General knowledge of urban geography Strong interest in the interactions between climate change and human health in
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management of databases; scientific programming. Knowledge of the energy sector and GIS would be an asset. Tools Used: Python, R, Excel, Access, SQL, EViews…; GAMS / QGIS are a plus.
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(quantitative, qualitative, modelling, GIS, etc.). Produce and share research outputs such as: articles and preprints, demonstrators or prototypes, documented datasets and, where possible, open data, a scientific
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skills (one or more of the following strongly desired) Exploratory analysis of massive datasets (machine learning methods) Spatial data analysis and Geographic Information Systems (GIS) Forecasting and
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biostatistics and handling heterogeneous datasets (R or Python; GIS experience appreciated); • Solid knowledge of fire ecology, soil functioning, and/or biogeochemical cycles; • Strong interest in
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researcher will be responsible for conducting ethnographic research on the Morbras and Bièvre rivers. He or she will be selected for their knowledge of water, their mastery of cartographic tools (GIS) and
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Bioinformatics expertise of Dr. Raimondi on the development of GI NN methods and their application to relevant biological problems with the expertise of Dr. Bry and Dr. Trottier on the statistical inference