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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with
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sciences, specifically in the areas of geoinformation systems, cartographic production systems, image data processing and analysis, spatial modeling and animation, geoinformation database technology
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a post-doctoral researcher to join WP2 on the AI4MAP project, primarily focusing on developing adaptive sampling and spatial modelling strategies. The work will concentrate on designing and
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, introduce spatiotemporal inhomogeneities in dose delivery. Such features challenge conventional models but may be naturally incorporated into the RG formalism via spatially varying couplings or external
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Results: Ability to assess the influence of the engine plume on the release of emissions into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion behaviour
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transformation of variables. Develop and execute code for various analytic models, including: ○ Multilevel Models ○ Longitudinal Models ○ Mediation Models ○ Models adjusted for weights, complex designs
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combined with dispersion modelling and/or satellite data) to improve spatial concentration maps; preparation and publication of scientific papers and scenario study reports; occasional support of fieldwork
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CRSA - Postdoctoral research fellowship: “Developing Advanced Weather Prediction Models for Agricultural
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 1 month ago
or related fields; – Be enrolled in a master's degree or integrated master's degree in Geography or related fields; – Have experience in the use of GIS and Spatial Modeling; – Immediate availability
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opportunity for you. HYDRA-EO focuses on the multi-scale detection of biotic and abiotic stress in Mediterranean crops using UAV hyperspectral and thermal imagery, radiative transfer modelling, agronomic field