Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
Sustainable Development Goals (SDGs). The successful candidate will focus on developing and applying advanced spatial analysis tools and methodologies to assess and optimize territorial planning and management
-
-driven approaches and spatial analysis. Evaluate the impact of integrated systems on the environmental, social, and economic aspects of territorial development. Collaboration: Work closely with a
-
farming solutions, Produce innovative research related to yield gap analysis, crop yield estimate uncertainties, and analysis of yield historical trends to model future trends, spatial variability, and
-
Climate Science, Hydrology, Environmental Science, or a related field. Experience in machine learning or AI applications in hydro-climate studies. Strong background with GIS tools and spatial analysis
-
the mapping and correction of spatial data. Professional experience in data analysis, preprocessing, manipulation, and cleaning. Excellent communication and collaboration skills for interdisciplinary research
-
Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
. Familiarity with GIS software, such as ArcGIS and QGIS, and experience with spatial data analysis and visualization. Familiarity of Remote Sensing commercial software (e.g. ENVI, eCognition) & GIS software (i.e
-
Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture
(GCP), and Apache Hadoop, and ability to leverage these tools for remote sensing data processing and analysis. Familiarity with GIS software, such as ArcGIS and QGIS, and experience with spatial data
-
(GCP), and Apache Hadoop, and ability to leverage these tools for remote sensing data processing and analysis. Familiarity with GIS software, such as ArcGIS and QGIS, and experience with spatial data
-
ability to leverage these tools for remote sensing data processing and analysis. Familiarity with GIS software, such as ArcGIS and QGIS, and experience with spatial data analysis and visualization