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Field
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Do you want to shape the future of digital nature monitoring? Do you have experience with LiDAR, AI, and ecology — and want to contribute to remote sensing research for biodiversity and ecosystems
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Do you want to shape the future of digital nature monitoring? Do you have experience with LiDAR, AI, and ecology—and want to contribute to remote sensing research for biodiversity and ecosystems
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Seabed to SPace: Identifying and quantifying plastic litteR with Innovative remote sensing Technologies”, SSPIRIT for short, funded by Flanders Innovation & Entrepreneurship (VLAIO contract HBC.2024.0752
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of territories, etc.). Modelling Urban Territorial Transformations of the Baltic Region: A Spatio-Temporal Computational Approach. (What is an Integrating Mathematics, Remote Sensing, and Geo-AI Simulation?) In
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characterize the spatio-temporal contexts that favor crises. • Development of advanced predictive models (multivariate approaches, machine learning) combining event data, snow and weather data, and remote
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. Working at the interface of climate science, geotechnical engineering, remote sensing and critical asset management you will integrate national datasets (e.g. UK Climate Projections, Environment Agency
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to interpret remote-sensing observations of icy moons. You will join an interdisciplinary and international team that integrates laboratory astrochemistry, spectroscopy, quantum chemistry, radiative-transfer
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industries. Using existing plans, remote sensing and laser scanning field-surveys, they will build lab-based digital replicas of UK post-extractive underground and overground landscapes. Then they will import
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managed boreal forest landscapes. The research will be done in terrestrial ecosystems. It aims to include experimental and observational studies (e.g. using field, lab, remote sensing data) along
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The Cambridge Sustainable Design Group within the Department of Architecture invites applications for the role of Research Assistant/Associate in Thermal Infrared Remote Sensing for Decarbonisation