Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- University of Exeter
- Swedish University of Agricultural Sciences
- CNRS
- Technical University of Munich
- Utrecht University
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Leibniz
- Loughborough University
- Norwegian University of Life Sciences (NMBU)
- Sveriges Lantbruksuniversitet
- Delft University of Technology (TU Delft); Published yesterday
- Empa
- Faculty of Science, Charles University
- Loughborough University;
- Nature Careers
- Newcastle University
- University of Göttingen •
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- DAAD
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- IRTA
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Instituto Superior de Agronomia
- Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC)
- KU LEUVEN
- Linkopings universitet
- Lulea University of Technology
- Luleå University of Technology
- Manchester Metropolitan University;
- McMaster University
- Multiple
- National University of Science and Technology POLITEHNICA Bucharest
- Queensland University of Technology
- Radboud University Medical Center (Radboudumc)
- Swedish University of Agricultural Science
- The University of Alabama
- The University of Newcastle
- Tilburg University
- Transilvania University of Brasov
- UiT The Arctic University of Norway
- University of Birmingham
- University of Bremen •
- University of Cambridge;
- University of Exeter;
- University of Groningen
- University of Plymouth
- University of Plymouth;
- University of Sheffield
- Université Savoie Mont Blanc
- Wageningen University & Research
- Wageningen University and Research Center
- 45 more »
- « less
-
Field
-
characterize the spatio-temporal contexts that favor crises. • Development of advanced predictive models (multivariate approaches, machine learning) combining event data, snow and weather data, and remote
-
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
-
to interpret remote-sensing observations of icy moons. You will join an interdisciplinary and international team that integrates laboratory astrochemistry, spectroscopy, quantum chemistry, radiative-transfer
-
managed boreal forest landscapes. The research will be done in terrestrial ecosystems. It aims to include experimental and observational studies (e.g. using field, lab, remote sensing data) along
-
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
-
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
-
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
-
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
-
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 creative candidates with
-
remote sensing, numerical modelling, and fieldwork. We recognize that no candidate will have experience in all of these areas, and we encourage you to apply if you have the following qualifications