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, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering & Geosciences
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are: astrodynamics and mission analysis, remote sensing, space systems engineering, computational intelligence, hypersonics and computational fluid dynamics, theoretical aeroscience, aerospace propulsion, aerospace
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") team of the laboratory. Supervisory Team: The project is supervised by Malgorzata Chmiel (Géoazur, CNRS) and Jean-Paul Ampuero (Géoazur, IRD). The PhD student will work in close collaboration with Margot
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industries. Using existing plans, remote sensing and laser scanning field-surveys, they will build lab-based digital replicas of UK post-extractive underground and overground landscapes. Then they will import
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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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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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build the sustainable companies and societies of the future. The department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU) is offering two PhD student
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for remote working. Eligibility criteria The candidates must provide a document issued by the doctoral school they have been enrolled to, certifying the PhD candidate status. The candidates have to prove the
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of Sentinel-2 fluvial scenes’. Earth Surf. Process. Landforms, 45, 3120–3140. Carbonneau et al 2020) ‘Adopting deep learning methods for airborne RGB fluvial scene classification’. Remote Sensing of Environment
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at the Radboudumc, Radboud University and Donders Graduate School. finalize the project with a PhD thesis. Where to apply Website https://www.academictransfer.com/en/jobs/356184/phd-candidate-digital-biomarker