47 numerical-modeling-"Multiple"-"Humboldt-Stiftung-Foundation" Postdoctoral positions
Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Texas A&M University
- UNIVERSITY OF SYDNEY
- University of North Carolina at Chapel Hill
- Virginia Tech
- TTI
- University of Luxembourg
- University of Maine
- Argonne
- Canadian Association for Neuroscience
- Duke University
- Embry-Riddle Aeronautical University
- Empa
- Florida Gulf Coast University
- Forschungszentrum Jülich
- Los Alamos National Laboratory
- Reykjavik University
- Rutgers University
- The Ohio State University
- Tsinghua University
- University College Cork
- University of Canterbury
- University of Central Florida
- University of Nevada, Reno
- University of Oslo
- University of Oxford;
- University of Sydney
- University of Texas at Arlington
- University of Texas at Dallas
- University of Texas at El Paso
- 21 more »
- « less
-
Field
-
highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
-
with experts in material science, numerical modelling and laser physics, enabling you to integrate diverse expertise into robust control frameworks. This collaboration provides a unique opportunity to
-
theoretical models and methods as well as in implementing numerical optimization techniques Interest in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum
-
. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography
-
numerical screens of putative reaction-diffusion circuits, and (iii) studying specific biological systems in close collaboration with experimentalists to guide our models. The successful candidate will join
-
-Young Yi’s research group at UTEP, contributing to the development of numerical models for enhanced geothermal systems and geologic carbon storage. The successful candidate will also work closely with
-
of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
-
reinforced concrete structures, using mechanical, acoustic, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and
-
. The successful candidates can choose to work on one of the following areas with Yuansheng Cao and collaborate with multiple researchers across the world: 1. nonequilibrium thermodynamics of biological information
-
, including hybrid simulations coupling machine learning with numerical methods, multiscale discretization, nonlocal closure modeling, structure preservation, multilevel and multifidelity machine learning