Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Aalborg Universitet
- Aalborg University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- French National Research Institute for Sustainable Development
- Georgetown University
- Institut de Físiques d'Altes Energies (IFAE)
- King Abdullah University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- University of Washington
- 1 more »
- « less
-
Field
-
Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. Automated data-driven selection procedures will enable to gain objectivity and capacity to handle large amount of data from a wide range of epidemics. The first challenge consist in refining previous models
-
uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models
-
. The inventory is still ongoing, but our field is now heavily investing in the characterization of the physical and chemical properties of these objects through the use of sensitive imaging cameras and
-
tasks require high-frequency evaluations of forward models, in order to quantify the uncertainties of rock and fluid properties in the subsurface formations. Therefore, the objectives of this research
-
Catalunya, the Autonomous Government of Catalonia, and the Universitat Autònoma de Barcelona (UAB, a public university) whose main objective is to carry out research and to contribute to the development
-
. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models for long-term forecasting. Collaborate closely with
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 minutes ago
system and its top-level science objectives, but there has not been as much focus on connecting science objectives directly to the developmentof an engineered system. Systems engineering practices
-
) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
-
, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R. Teamwork and Responsibility: Ability to work effectively within a project team
-
associated with phenotypic (biomechanical and metabolomics) traits. Estimate locus-specific effect sizes and quantifying genetically-driven phenotypic variations. Develop Bayesian models and/or deep learning