Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- University of Oxford
- ;
- Argonne
- SciLifeLab
- Stony Brook University
- Westlake University
- CEA
- CWI
- Cornell University
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Heriot Watt University
- Linköping University
- Los Alamos National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University
- SUNY University at Buffalo
- Swedish University of Agricultural Sciences
- Technical University of Denmark
- Technical University of Munich
- Texas A&M University
- University of Florida
- University of Oslo
- University of Tübingen
- VIB
- 17 more »
- « less
-
Field
-
. The work is performed in connection to two ongoing research projects “Probabilistic multiscale modelling of the macroscopic crack growth behavior in heterogeneous materials” and “Optimized Digitalization
-
weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches to account for uncertainties. Use data assimilation techniques to combine observational data with AI models
-
modeling. The ideal candidate will be responsible for developing and applying probabilistic models to advance time-series analysis. Key areas of focus for this position include: 1)Probability Theory and
-
postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's
-
working closely with the Ice Sheet Model Intercomparison for CMIP7 (ISMIP7) to assess the key interactions that affect regional sea level. The FACTS tool has been used for probabilistic assessment of sea
-
probabilistic models, hybrid numerical approaches, computational algorithms, and integrated software platforms for modeling and managing the interactions among urban infrastructure and environment networks
-
apply. A PhD dissertation or research papers that demonstrate a strong interest and research focus in any of risk analysis or minimization, robust optimization, deep learning for systems, probabilistic
-
: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification