Sort by
Refine Your Search
-
Country
-
Employer
- ;
- University of Kansas Medical Center
- University of Oslo
- Colorado State University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- UiT The Arctic University of Norway
- University of Bergen
- University of Birmingham
- University of Cincinnati
- Zintellect
- 3 more »
- « less
-
Field
-
assimilation, and multiple data sources to address two key research questions about water-energy interactions at biophysical scales: What are the scales of SM variability across different landscapes and their
-
assimilation, and multiple data sources to address two key research questions about water-energy interactions at biophysical scales: What are the scales of SM variability across different landscapes and their
-
development of a sea ice model-data assimilation framework in WP3 of SI/3D and perform seasonal sea ice forecasting experiments. The postdoc will set up the data assimilation framework for summer sea ice
-
modellers using advanced simulations to interpret and validate observations via data assimilation. There will be opportunities to spend time with project partners at UCLA (Prof. James McWilliams) and attend
-
changes and established markers for Alzheimer's disease. The project may also include machine learning methods to estimate individuals' biological age. The project is based on existing data from a prominent
-
, develop new ideas, and assimilate the information into his/her project design/interpretation. Dissemination of studies: Interact on a regular basis with their PI, faculty mentor and members
-
of saprotrophs (bacteria and fungi) as well as mycorrhiza fungi. The postdoc will work together with UiO expertise on data assimilation to calibrate the coupled CLM-FATES model using: Snow cover Flux tower data
-
focuses on global river discharge simulation and assimilation of satellite data/products from the Surface Water and Ocean Topography (SWOT) mission. This is part of a multi-year project funded by NASA
-
Yield Forecasting". This project aims to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data assimilation, machine learning
-
assimilation to calibrate the coupled CLM-FATES model using: Snow cover Flux tower data The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model