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to apply Website https://phd.fbk.eu/calls/detail/artificial-intelligence-for-remote-sensing-imag… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Additional Information Work
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an interdisciplinary environment as well as excellent facilities for remote sensing research and numerical simulation and inversion Opportunities to being part of the national and international scientific community PhD
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, Communication Engineering, Computer/Data Science, Mathematics, or equivalent; – knowledge in artificial intelligence, image/signal processing, remote sensing, and radar remote sensing. Where to apply Website
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larger Vici project funded by the Dutch Research Council. FireSky is an interdisciplinary project combining field, remote sensing and modeling approaches to study feedbacks between climate warming
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responds to climate change in the past and present to improve future predictions of sea-level rise and Earth system feedbacks. The work combines collection of field data, remote sensing, and modelling in
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professional service. General Requirements Candidates should have (1) a PhD/Post-doctoral experience in the field of geography, GIS, remote sensing, GeoAI, or a related discipline; (2) relevant postdoctoral and
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and climate, sea-level change, geohazards, caves, groundwater, plant succession, biodiversity, natural forests, nature loss, land-use change, geographic information systems (GIS) or remote sensing. With
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
or Geoinformatics, or related areas and to be enrolled PhD. Candidates will be assessed according to the project team’s needs regarding geospatial data and remote sensing for analysis, interpretation, and application
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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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requirements: The candidate must have obtained their PhD within the last 7 (seven) years, counted from the start date of the fellowship, and have experience in remote sensing applied to agriculture and/or