Sort by
Refine Your Search
-
Listed
-
Country
-
Field
- Economics
- Computer Science
- Medical Sciences
- Business
- Mathematics
- Engineering
- Education
- Science
- Biology
- Materials Science
- Environment
- Arts and Literature
- Chemistry
- Psychology
- Law
- Social Sciences
- Linguistics
- Physics
- Sports and Recreation
- Earth Sciences
- Electrical Engineering
- Humanities
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant
-
, version control) and numerical workflows. Experience programming for data analysis and model workflows (e.g., Python, MATLAB; FORTRAN/C familiarity for model configuration). Demonstrated verbal and written
-
aero-elasticity, numerical flow computation and experimental work. You will work with nearby colleagues and international collaborators and be an active contributor to the ongoing project formation and
-
Applications” located on your Candidate Home page. Closing Date: 04/03/2026 Type of Position: Budget and Financial Analysis Workstudy Position: No Job Type: Regular Work Shift: Day Shift (United
-
Research Scientist will also assist in organizing an annual Southeast Asia learning exchange hosted at NYU Abu Dhabi, supporting agenda development, training sessions in reef monitoring and data analysis
-
: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full
-
maintain a national security clearance. Preferred Qualifications: Expertise in numerical analysis. Expertise in theoretical machine learning. Expertise in the development of artificial intelligence
-
the working group focus is the analysis of nonlinear wave and dispersive equations. Our ideal candidate already has experience with methods of PDEs, in particular Harmonic Analysis, and is able to actively
-
. This experimental platform provides an ideal reference for validating numerical predictions. Although fluid-structure coupling in such systems is conceptually understood, there is currently no accurate method