Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- University of Oslo
- Nanyang Technological University
- Auburn University
- Emory University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Massey University
- Max Planck Institutes
- Montana State University
- Sheffield Hallam University
- Simons Foundation
- UNIVERSITY OF MELBOURNE
- UiT The Arctic University of Norway
- University of Adelaide
- University of Leeds
- University of Massachusetts
- University of Melbourne
- University of Oxford
- University of Reading
- University of Salford
- University of South-Eastern Norway
- University of Stirling
- University of Western Sydney
- Zintellect
- 14 more »
- « less
-
Field
-
and forecasting wildland fire smoke transport and dispersion. The project objective is to improve both wildfire and prescribed fire operational decision support in various landscapes. They will interact
-
data for the inclusion of ocean and coastal carbon NorSink will lead to a step change in the emerging science of carbon budgets and forecasting, and provide decision makers with the knowledge to design
-
communities, using a range of methodologies including realist evaluations, systematic reviews, scheduling and data forecasting, surveys and mixed methods research. Our partnership has been funded by NIHR Health
-
Forecasting system developed by CSIRO. Along with a $42,000 p.a. scholarship for three and a half years, the student will have the opportunity to undertake a funded 60-day industry placement with one of our
-
and addressing technical challenges in estimating rare, high-impact occurrences. Developing analytical tools for policy evaluation, including counterfactual analysis, forecasting, and network
-
and addressing technical challenges in estimating rare, high-impact occurrences. Developing analytical tools for policy evaluation, including counterfactual analysis, forecasting, and network
-
at ICLR 2024 10 papers with MLG authors will appear at ICLR 2024 in Vienna, Austria. May 7, 2024 Google Summer of Code and Turing.jl We’re happy to announce that Turing.jl, a probabilistic programming
-
model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy