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, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to combine research in Remote Sensing and AI with teaching
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postdoctoral appointment in Remote Sensing of the land surface, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to
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and analyses based on various input data sets from eDNA, remote sensing and biodiversity observations? Department of Biology advertises a postdoc position focused on data integration and visualisation
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Postdoc: AI-driven Urban (Re)Design for Health Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 15
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Classification Title: Postdoc Aso Classification Minimum Requirements: The appointee shall have received the doctorate in a field appropriate to the assigned duties and responsibilities. Job
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forest trees would be an advantage. International research environment The position benefits from the continuing RESDiNET network, connecting IFE SAS with the Finnish Geospatial Research Institute
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the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data layers. Within this environment, we will design and evaluate new reinforcement learning
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reinforcement learning. The project will investigate a simulation platform that reproduces the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data
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Location ST. LOUIS, MO 63130 Position Summary The postdoc will be anticipated to leverage satellite retrievals of atmospheric composition, emissions and meteorology datasets, and a chemical
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Internal Number: JR96129 Location ST. LOUIS, MO 63130 Position Summary The postdoc will be anticipated to leverage satellite retrievals of atmospheric composition, emissions and meteorology datasets, and a