Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Nanyang Technological University
- University of Oslo
- Monash University
- UiT The Arctic University of Norway
- Zintellect
- Auburn University
- Emory University
- Hong Kong Polytechnic University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institutes
- National University of Singapore
- Sheffield Hallam University
- Simons Foundation
- Trinity College Dublin
- University of Adelaide
- University of Manchester
- University of Massachusetts
- University of Michigan
- University of Michigan - Ann Arbor
- University of Salford
- University of South-Eastern Norway
- University of Stavanger
- University of Western Sydney
- 14 more »
- « less
-
Field
-
management and oversight of data repository activities; the planning and reporting of analyses and progress reports; preparation of budget reports and budget forecasting; and supervision and training
-
infrastructure to support pre-dictive modeling and disease forecasting in low- and middle-income countries. The plan is for the candidate tofocus on Bayesian modelling in close collabora-tion with researchers
-
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
-
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 effective climate policies as Norwegian and European
-
, sedimentology Competence desired: Chemistry, geochemistry, geosciences, modelling 4) Proxy models for CO₂ sequestration This project will develop data-driven proxy models for CO₂-sequestration forecasting in
-
an opportunity to work with the Bureau of Meteorology, applying advanced analysis and programming skills to operational weather data for forecasting at various time scales. Key responsibilities include independent
-
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
-
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