Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Pennsylvania State University
- Stanford University
- Cornell University
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- Aalborg University
- Argonne
- CEA
- CNRS
- Chalmers University of Technology
- Duke University
- Durham University
- IMT Nord Europe
- NEW YORK UNIVERSITY ABU DHABI
- Queen Mary University of London;
- The University of Western Australia
- University of Antwerp
- University of Aveiro
- University of Minnesota
- University of North Carolina at Greensboro
- University of Tasmania
- Utrecht University
- Virginia Tech
- Yale University
- 15 more »
- « less
-
Field
-
Postdoc Modelling, CFD and Experimental Development of an Innovative Absorption Injector H/F Modelling, CFD and Experimental Development of an Innovative Absorption Injector The Postdoctoral
-
, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
and aerodynamics through the use of comprehensive analysis, high-order computational fluid dynamics (CFD), and direct numerical simulation (DNS) tools. The postdoctoral researcher will work with CAMRAD
-
University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 8 hours ago
Biology or relevant disciplines; fully trained and very experienced in analytical method development for sample enrichment, biological sample preparation from cells, tissues and biofluids. The candidate
-
to enable process-level simulation and evaluation. • Develop and assess multistage and multi-membrane process configurations for CO₂/CH₄ separation. • Perform CFD-informed analysis of membrane module
-
. Responsibilities Design wet-lab experiments for isolation, library preparation, and sequencing of cell-free DNA and RNA from clinical biofluid samples Conceive, prototype, and benchmark new computational and AI
-
Interferometry (DHI) and Laser Absorption Imaging (LAI). Interpret results to identify combustion regimes and resolve reaction zones, establishing geometrically well-constrained test cases for high-fidelity CFD
-
measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
-
develops and applies liquid biopsy technologies to detect, characterize, and monitor cancer using blood, urine, and other biofluids. Our work spans molecular assay development, high-throughput sequencing
-
custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. Deliver CFD