Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
and rideshare launch procurement; background in or demonstrated interest in remote sensing, coastal science, or environmental monitoring applications; experience mentoring students in a technical
-
energy for tropical forests. Analyze complex datasets with the NGEE-Tropics data team, including eddy covariance, forest census, plant ecophysiology, remote sensing, land use/land cover change Investigate
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description in charge of the research line: «Machine learning for remote sensing image processing (ML4RSIP)». Junior
-
sample sizes are small. Remote sensing technologies (LiDAR, satellite imagery) can detect and map disturbed areas with high precision, but they do not directly measure essential forest attributes such as
-
skills and experience: a PhD (or be close to completion) in Remote Sensing, Computer Vision, Forestry, Geomatics, Machine Learning, Spatial Statistics, or a closely related discipline demonstrated research
-
Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Jul 2026 - 23:59 (Europe/Andorra) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week
-
future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
-
wildfire dynamics, fire weather, fire ecology, remote sensing, modeling, and related disciplines. WIRC offers extensive observational and computational capabilities, as well as access to operational systems
-
to work entirely remotely. We follow the Researcher Development Concordat. We enable all colleagues to fulfil their research potential regardless of career stage. This commitment secures our thriving
-
₃ emissions affect peatland ecosystems across the island. The successful candidate will lead research integrating remote sensing, fieldwork, laboratory analysis, and geospatial methods, including GIS and