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systems for remote operation. Secondment opportunities University of Roma Tor Vergata, Pervasive Electromagnetics Lab http://www.pervasive.ing.uniroma2.it/index.html Co-supervisor: prof. Gaetano Marrocco
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of the most interesting and important environmental changes are taking place), and are typically destructive to the target plants. Remote sensing methods --- ranging from handheld and drone-based measurements
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Advanced Remote Sensing Technologies, under the project reference no. 2023.16642.ICDT/COMPETE2030-FEDER-00886500. The main objective of this research work is to develop algorithms and methods combining multi
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Consiglio Nazionale delle Ricerche - Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA) | Italy | 5 days ago
://imaa.cnr.it/ Requirements Additional Information Eligibility criteria a. PhD in Physics / Atmospheric Sciences / Remote Sensing / Earth Observation or a qualification obtained abroad, or in technical-scientific
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for the postdoctoral position. Other relevant qualifications a) Educational background - PhD in SSD AGRI-03/B with particular reference to remote and proximal sensing of forest resources - Forestry and Environmental
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Foundation-model-guided world models and predictive control for autonomous remote handling in extreme environments The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). We are seeking a post-doctoral fellow interested in employing NASA and perhaps non-NASA remote sensing
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consider one or multiple subtopics that our group is particular interested in and invests on: (1) ice microphysics remote sensing from infrared to microwave spectra (TIR, FIR, sub-mm, MW); (2) cloud
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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sediment monitoring framework combining in situ observations and satellite remote sensing. The project directly supports EU policies including the Common Agricultural Policy, Soil Monitoring Law and Nitrates