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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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rolling basis with start dates as early as 1/1/2026 and as late as 3/1/2026. Group or Departmental Website: https://simpsoba.su.domains/ (link is external) How to Submit Application Materials: Please upload
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of cultural heritage. Remote sensing, and in particular Synthetic Aperture Radar (SAR), provides valuable insights into vegetation structure, soil roughness, and soil moisture. The Copernicus program of
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has active research programs in image and signal processing, remote sensing, robotics, healthcare and biomedical devices, communications and sensor networks, electric energy systems, and photonics and
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. Therefore, we would encourage you to complete and submit your application as soon as possible. Where to apply Website https://jobs.cranfield.ac.uk/vacancy/research-fellow-in-remote-sensing-in-tea-a
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in the use and exploitation of high spatial and temporal resolution remote sensing data. An interest in causal discovery and inference is more than welcome. The candidate will be required to interact
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remote sensing data. Your job As a PhD candidate, you will study how the rapid thinning and loss of sea ice in the Arctic Last Ice Area, north of Greenland and Ellesmere Island, affects surface melt and
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 2 months ago
developing prototypes of enzymatic chemical biosensors, contributing to the creation of metasurfaces operating in the microwave range for remote sensing applications. Given the characteristics of the position
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 2 months ago
self-generated data in the field-, and to explore the potential of remote sensing to unlock the relationship between vegetation history and the distribution of ancient economic and settlement remains
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, NEON airborne remote sensing, comprehensive water balance measurements, soil respiration data, and tower-based remote sensing including multiple thermal imagers and solar-induced fluorescence (SIF