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well as upscaling to larger areas and model-based predictions for the future. In this project, the Institute of Photogrammetry and Remote Sensing offers, subject to the availability of resources, a position as
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; Nguyen et al., 2023). By integrating large scale, multi-modal data and leveraging self-supervised and transfer learning, these models demonstrate satisfactory spatial-temporal simulation and predictions
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individuals who have or will soon receive a PhD in Economics focusing on firm dynamics, structural transformation, economic growth, spatial economics. The appointment is for 3 years and will begin September 1
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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respond to diverse mechanical cues from their environment, including adhesion, stiffness, tension, shear, pressure, and confinement. These cues are integrated across wide spatial and temporal scales, from
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data. High proficiency in R or comparable programming languages is required, and experience with statistical modeling, geographic information systems (GIS), and handling large spatial datasets is
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range and optical laser pulses, combining these with near-field methods for improved spatial resolution. To better understand our results, we develop simple theoretical models. The insights gained
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relevant language) for ecological modelling, including the use of spatial datasets demonstrated ability to supervise or co-supervise Honours, Masters and/or PhD students Please refer to the Position
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their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, and the analysis of geocoded data, especially of epigraphic and archaeological origin. MAIN
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(s) Number of offers available1Company/InstituteLaboratoire "Atmosphères et Observations Spatiales"CountryFranceCityGUYANCOURTGeofield Contact City GUYANCOURT Website http://www.latmos.ipsl.fr STATUS