Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- University of Exeter
- CNRS
- Forschungszentrum Jülich
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- DAAD
- Faculty of Science, Charles University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Tallinn University of Technology
- Utrecht University
- Aarhus University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Empa
- Inria, the French national research institute for the digital sciences
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Institute of Geography, Slovak Academy of Sciences
- Instituto Superior de Agronomia
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- Leibniz
- Linkopings universitet
- Lulea University of Technology
- Luleå University of Technology
- Norwegian Meteorological Institute
- Radboud University Medical Center (Radboudumc)
- Swedish University of Agricultural Science
- Technical University of Munich
- Transilvania University of Brasov
- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
- University of Birmingham
- University of Bremen •
- University of Exeter;
- University of Groningen
- University of Göttingen •
- University of Strathclyde (UOS)
- University of Vienna
- 26 more »
- « less
-
Field
-
, 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
-
") 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
-
sensing and ecology. The successful candidate should have: Required: A PhD degree with a publication record in peer-reviewed international journals Experience with remote sensing, LiDAR, or GIS applications
-
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
-
under different climate and nutrient input scenarios. Within IOW, the PhD candidate will collaborate with IOW’s Department of Marine Observations Integrated Optical Remote Sensing Research Group
-
are: astrodynamics and mission analysis, remote sensing, space systems engineering, computational intelligence, hypersonics and computational fluid dynamics, theoretical aeroscience, aerospace propulsion, aerospace
-
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
-
Researcher will influence the direction of application areas and algorithm development, receiving direct training in InSAR processing, geospatial data science, and agricultural remote sensing. Co-supervision
-
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
-
. This PhD project will investigate the interactions between wildfire disturbance and thermokarst dynamics across Siberia and other Arctic regions using multi-sensor satellite remote sensing data provided by