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in veterinary research. Knowledge of statistical analysis and experimental design. High interested in applied research. Ability to work independently while collaborating within a multidisciplinary
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for data science (Python, R, SQL, PostGIS, GeoPandas, etc.). Knowledge of urban models and spatial analysis tools (urban growth models, accessibility, change detection, etc.). Ability to work with
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developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and
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for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial and functional interactions within urban infrastructure. Personal and Organizational Skills Ability to model
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/ Responsibilities and tasks planned: The work will focus on: Bibliographic review, Report and scientific publications. organizing workshop courses Compétences requises et exigence du poste / Skills required
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collaboration with external institutions to develop up-to-date science at the continent level and address real challenges. All our programs run as start-ups and can self-organize when they reach a critical mass
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between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between
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: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics
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: GTI-UM6P / SBU Manufacturing – JORF-Lasfar Work Location: GTI-UM6P and JORF-Lasfar site Contract Type: Postdoctoral Position Main Mission The position holder will be responsible for designing and
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and compare material intralogistics handling alternatives—such as in-pit crushing & conveying, trolley-assist systems, and battery-electric trucks—in strip mining operations. This research is part of