Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Swedish University of Agricultural Sciences
- University of Exeter
- CNRS
- Faculty of Science, Charles University
- Leibniz
- Aarhus University
- Delft University of Technology (TU Delft)
- FCiências.ID
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Institutionen för akvatiska resurser
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
- Leiden University
- Loughborough University;
- Max Planck Institute for Meteorology •
- Nature Careers
- Newcastle University
- Purdue University
- Sveriges Lantbruksuniversitet
- The University of Auckland
- UNIVERSITY OF HELSINKI
- Universidade de Coimbra
- University of Birmingham;
- University of Exeter;
- University of Münster •
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Wageningen University and Research Center
- 18 more »
- « less
-
Field
-
- Enthusiasm and interest in disease ecology - Experience with mathematical disease modelling, spatial and/or niche modeling, meta-analyses, and other quantitative analyses (especially if requesting remote
-
The proposed PhD project is part of the PEPR FORESTT, a national interdisciplinary research program aimed at studying the socio-ecological transition of forest systems. The targeted MONITOR project within
-
Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
-
today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
-
for coastal ecosystems. You will perform statistical analyses of time series and spatial data on ecosystems and human activities and participate in more holistic analyses of socio-ecosystems. You will also
-
that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
-
-derived spectral signatures. Analytical workflows will be implemented in Python, R, Matlab and QGIS. Classification outputs will be integrated with ecological and spatial data to evaluate biogeographical
-
transformation of society, its conditions, developmental tendencies, and spatial structure - with implications for societal organization and an emphasis on qualitative changes and connections to the natural
-
are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology
-
for the Anthropocene. Global Ecol Biogeogr 27, 760–786. https://doi.org/10.1111/geb.12729 Hughes, S., Kunin, W., Ziv, G., & Watts, K. (2023). Spatial targeting of woodland creation can reduce the colonisation credit