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Mission We are offering a full-time (100%) PhD position at ENAC at EPFL, Lausanne, Switzerland, within the Plant Ecology Research Laboratory (PERL): https://www.epfl.ch/labs/perl/ The PhD project
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these skills further during your PhD. We expect that you are curious about glaciology, ice sheet processes and/or satellite remote sensing and motivated to learn or further develop programming and data
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«Detaljer» for å lese mer om dette og tilpasse dine valg. Om cookies Bare nødvendige cookies UiO/Anders Lien 13th October 2026 Languages English English English PhD Research Fellow in remote sensing of the
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digital twins of forests for optical and microwave radiative transfer modelling explore the near-real time inversion of remote sensing of forest disturbances from satellites use a library of digital twin
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Your Job In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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. Objectives This PhD project will use an ocean circulation model and remote sensing data to quantify the physical and/or biogeochemical impacts of iceberg deterioration on Ilulissat Kangerlua, an iceberg
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agronomic field studies, crop modelling and the use of remote sensing and spectral techniques for crop monitoring. The research environment includes expertise in forage production, crop ecology, plant
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, manufacturing and remote sensing. Research Topic As robots transition from single task machines to general purpose agents operating in dynamic and unpredictable environments, the computational demands of
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Laboratory and field-based structural testing and data acquisition Direct and indirect sensing methods for bridges, including remote sensing techniques Machine learning and artificial intelligence for
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life to emerge. Developing reliable methods to detect reliable traces of life (biosignatures) – whether through remote sensing or direct onsite measurements – requires significant innovation. These