Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
Candidates should normally have or be about to obtain (usually within three months) a relevant PhD in Geography, Palaeoecology, Ecology, Environmental Sciences, Environmental Engineering, Remote Sensing
-
with a global sediment database and use remotely sensed and other geographical data with machine learning/Bayesian Modelling techniques to establish drivers of global sediment flux. They will use
-
/programming languages will be preferred: - Extreme value analysis - Land surface modeling and/or remote sensing; Water resources management; Crop modeling - Data analysis tools such as MATLAB - Programming
-
oil slicks which originate from discrete points at the seabed are clearly visible on satellite remote sensing data in the North Sea. This PhD position will be dedicated to using advanced machine
-
, etc. • Prior experience/knowledge of the following models, software/programming languages will be preferred: o Extreme value analysis o Land surface modeling and/or remote sensing; Water
-
promotions process. About You Completion or near completion of a PhD in marine science, environmental science, geospatial science or engineering. Proficiency in remote sensing, GIS, and spatial analysis
-
for the 2024-2025 academic year. The appointment begins May 15, 2024, and is a one-year position with the possibility of a second year pending review and reappointment. A PhD in ecology or a related field is
-
to fill these positions in the following expertise: remote sensing, machine learning and crop growth modeling with application focus on predicting seed composition (protein, oil, fiber, energy), GIS mapping