Sort by
Refine Your Search
-
Vacancies PhD Candidate Geospatial Risk Modelling for Climate Finance Key takeaways Effectively understanding and mitigating financial risks associated with climate change is important for
-
archaeological finds. Conducting geospatial analyses in GIS, including work with LiDAR data, aerial imagery, and other remote sensing data. Developing a webGIS platform to host field-collected data, legacy
-
geospatial data on fisheries activities near OWFs to evaluate the distributional impacts of OWFs across different fleet segments; conducting fieldwork and surveys in collaboration with ‘NO REGRETS’ partners
-
Management (PGM) combines social sciences and geospatial information sciences to promote meaningful and effective utilisation of geospatial digital technologies in the planning and geoinformation management
-
through soil, surface water, and groundwater systems. By validating model simulations with in-situ measurements (e.g., soil moisture, groundwater levels, surface water) and geospatial datasets (e.g
-
approaches effectively and for fully accounting for their contributions to regional or national climate and biodiversity targets. Technological developments, e.g. in mobile phones, geospatial techniques and