Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
-
services in support of Network, Security, and Community services for the higher education and public sector community. Some of those services include Broadband Internet Service , GIS & Data Analysis
-
. Proficiency in at least one of the GIS tools: ArcGIS or QGIS. Proficiency in at least one of the following programming languages: R or Python. Other Requirements or Other Factors: May travel to sites for field
-
will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. A strong foundation in Python
-
Director to identify technical resources and future needs. • Monitors and maintains the updates of GIS related software on PC workstations including but not limited to ArcGIS Pro, QGIS, R and Python
-
record in peer-reviewed international journals Experience with remote sensing, LiDAR, and GIS applications Programming skills in Python Background in LiDAR point-cloud analysis and vegetation structure
-
, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
-
on conventional GIS visualization. It centers on building rigorous, high-fidelity, georeferenced 3D environments that serve as the structural backbone for analytics, simulation, and next-generation interactive
-
such as Python, C/C++, or Java. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and geospatial libraries (e.g., GDAL, GeoPandas). Experience managing or supervising
-
(R, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS