Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NEW YORK UNIVERSITY ABU DHABI
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Singapore-MIT Alliance for Research and Technology
- Carnegie Mellon University
- DURHAM UNIVERSITY
- Eindhoven University of Technology (TU/e)
- Harvard University
- Massachusetts Institute of Technology
- National Energy Technology Laboratory (NETL)
- Pennsylvania State University
- Argonne
- California Institute of Technology
- Cornell University
- ETH Zürich
- Forschungszentrum Jülich
- King Abdullah University of Science and Technology
- Leiden University
- Lulea University of Technology
- Luleå University of Technology
- New York University
- Oak Ridge National Laboratory
- Rochester Institute of Technology
- Technical University of Munich
- Texas A&m Engineering
- University of Arkansas
- Villanova University
- Warsaw University of Technology
- 19 more »
- « less
-
Field
-
postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and
-
demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
-
to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
-
analyses) using data obtained from several sources. The aim is to expand the theoretical framework for predictive asset management in the railway sector including establishment of suitable algorithms and
-
implementation of numerical algorithms in advanced modeling and simulation software related to reactor physics analysis an asset. Ability to obtain and maintain a security clearance. Special Requirements
-
algorithms for fluid-structure interaction solvers What you will do Independently develop numerical methods and codes for fluid-structure interaction of wind-powered ships Carry out and analyse high-fidelity
-
orchestration across different network components, as well as to the development of sensing algorithms and ISAC solutions. The postdoctoral researcher will also play an active role in coordinating research
-
to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
). Design and fabrication of the calibration test phantoms Developing and testing acquisition software, and implementing image analysis algorithms and localization methods. Where to apply E-mail