Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the
-
-index tomography experimental setup, including optical alignment, calibration, and performance evaluation. Conduct quantitative performance analysis of the system, including spatial resolution, phase
-
SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? In the framework of a bilateral project
-
, College of Department: Data Science Rank: Associate Professor Annual Basis: 9 Month Application Deadline October 31, 2025 Required Application Materials Candidates are asked to apply online at https
-
. Your team You will collaborate with GRS colleagues who have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based modelling), spatial data
-
change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health
-
across different spatial and temporal scales, from building-level energy demand to district-scale interactions and their integration with wider energy networks. PhD Position in Hierarchical Graph Neural
-
: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
-
(landscape) ecologist with a broad, interdisciplinary interest with experience in spatial analysis of interactions between land use and biodiversity. Your work includes teaching courses in environmental
-
areas*; 2. Technical Skills - Experience in processing 3D point clouds (LiDAR or photogrammetry); Knowledge of GIS, remote sensing, or spatial analysis; 3. Research Experience (Preferred) — Previous