Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
Administrator V position in Geospatial Information Systems & Technologies Program (UCLA Geospatial) which is integral to the successful operation and continued growth of the Master of Applied Geospatial
-
Staff Job Description SUMMARY: Texas A&M University-Corpus Christi seeks a Geospatial Analyst II to work in Corpus Christi, Texas. Must apply at: https://tamus.wd1.myworkdayjobs.com/TAMUCC_External and
-
intelligence (AI) and data science at the CyberGIS Center for Advanced Digital and Spatial Studies. The position focuses on advancing spatial AI methods, scalable geospatial data science, and innovative
-
intelligence, large language models (LLMs), geospatial analytics, and behavioural science to generate actionable insights for rural communities, insurers, and stakeholders. The postholder will design and
-
decision support Analysis of large-scale geospatial, sensor, and remote sensing datasets (e.g., multispectral, hyperspectral, LiDAR) Predictive modeling for crop performance, resource efficiency, and climate
-
Project (https://excelsior2020.eu/ ), ERATOSTHENES CoE aspires to become a Digital Innovation Hub for Earth Observation and Geospatial Information by offering knowledge, responsible research, open
-
vulnerability index for ZD children, as well as other geospatial and modelling analyses (WP1) Teaching and/or third mission commitments: • Support the project lead partner in communication, dissemination
-
The Geospatial Data Analytics (GDA) Lab is establishing a specialized research position focused on high-performance computing, artificial intelligence, and computer vision. Unlike traditional engineering research
-
, and proven experience with geospatial data. Salary Range: €43,000 - €55,000 Per Annum Appointment on the above range will be dependent upon qualifications and experience. Closing date: 12:00 noon (local
-
skills in remote sensing, geospatial data analysis, artificial intelligence or machine learning, and environmental or agro-meteorological modelling, as well as experience handling large Earth observation