Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Aarhus University
- CNRS
- Faculty of Science, Charles University
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Instituto Superior de Agronomia
- Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC)
- Loughborough University
- Manchester Metropolitan University;
- Nature Careers
- University of Exeter;
- University of Göttingen •
- University of Plymouth
- University of Plymouth;
- 5 more »
- « less
-
Field
-
/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods to quantify fire severity and analyze
-
subject: Technology/Forest management/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods
-
preferred) Experience with processing and analysing remotely sensed data Experience with GIS and spatial data analytical techniques Experience with carrying out fieldwork in related fields (e.g. Geography
-
processes causing consecutive landslides will be undertaken. Training The individual joins a team of international experts who will support through training in remote sensing and GIS, field geomorphic
-
to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
-
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
-
hazards and assessing their risk for the society. At the same time, they are fully qualified users of remote sensing, GIS and statistictical software techniques that can be applied to geoscience and
-
experimental and observational studies (e.g. using field, lab, remote sensing data) along environmental gradients to increase understanding of how different types of forest management (e.g. continuous cover
-
erosion and subsequent effect on land-to-lake dynamics using isotope tracer and source apportionment methodology at test sites in the Winam Gulf. (2) Explore use of remote sensing data and machine learning
-
Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | about 1 month ago
self-generated data in the field-, and to explore the potential of remote sensing to unlock the relationship between vegetation history and the distribution of ancient economic and settlement remains