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. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
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are of interest. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial
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. Process LiDAR data to support 3D analysis of terrain and settlements, integrating it with other spatial datasets to improve accuracy and create 3D models. Plan, execute, and process drone-based data
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, Digital Soil Mapping, Remote sensing (COPERNICUS data ecosystem), spatial data modelling, spatial analysis, neural networks, large scale datasets management with GIS, cloud computing, Big Data tools. You
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nécessaire pour suivre les bilans des gaz à effet de serre, la production de biomasse et les rendements agricoles. À ce jour, la plupart des méthodes permettant d'estimer spatialement la GPP s'appuient soit
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
), financed by national funds through FCT Workplan: The main objective of the fellowship will be to study the effects of heterogeneity in spatially-structured or host-structured multi-species models governed by
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involving both modelers and experimentalists. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5253-MOUBEN-002/Default.aspx Work Location(s) Number of offers available1Company
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the molecular signatures of proteostasis loss and identify early markers of proteostatic failure. The role combines wet-lab spatial biology with computational approaches. You will work across models and scales
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to demonstrate knowledge of computational epidemiology, individua lbased simulation, spatial modeling of epidemics and other geospatial software. * Ability to show proficiency in data management. * Ability
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | about 2 months ago
administrative housing data, environmental indicators, and accessibility metrics — and apply advanced spatial methods such as multilevel modelling and geographically weighted regression to identify relevant