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Field
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interest, narrowing the scope to natural or cultural sites, and integrating diverse remote sensing datasets. The supervisory team offers interdisciplinary expertise in geospatial analysis, machine learning
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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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exert strong erosive power. Seismic monitoring offers powerful tools for detecting and quantifying erosion processes remotely and continuously, with high temporal resolution and over a broad range of
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Researcher will influence the direction of application areas and algorithm development, receiving direct training in InSAR processing, geospatial data science, and agricultural remote sensing. Co-supervision
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to support the management of forest resources and ecosystems. The PhD candidate will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further
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two PhD student positions to carry out research with the Signal Processing group in the area of next generation space-terrestrial wireless communications and sensing. We are looking for ambitious and
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. This PhD project will investigate the interactions between wildfire disturbance and thermokarst dynamics across Siberia and other Arctic regions using multi-sensor satellite remote sensing data provided by
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 1 month ago
evaluating temporal changes in A. longifolia populations and for assessing the impact of biological control agents. The work will comprise the application of remote-sensing and geospatial analysis
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positions to carry out research with the Signal Processing group in the area of next generation space-terrestrial wireless communications and sensing. We are looking for ambitious and creative candidates with
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experimental and observational studies (e.g. using field, lab, remote sensing data) along environmental gradients to increase understanding of how different types of forest management (e.g. continuous cover