Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Instituto Pedro Nunes
- Harvard University
- ;
- Nanyang Technological University
- University of Nottingham
- Nature Careers
- The University of Queensland
- University of Bergen
- University of Birmingham
- University of Waterloo
- DEAKIN UNIVERSITY
- Dalhousie University
- Deakin University
- FEUP
- Indiana University
- La Trobe University
- Macquarie University
- Northeastern University
- Politécnico de Leiria
- Ryerson University
- Swansea University
- Tallinn University
- Tampere University
- University of Algarve
- University of New South Wales
- University of Oklahoma
- University of Oslo
- University of South-Eastern Norway
- 18 more »
- « less
-
Field
-
Artificial Intelligence models for the accurate simulation of motor racing and for the generation of suggestions for effective racing strategies. The research fellow will explore different modelling approaches
-
numerical solvers for 2D and 3D phase field models Develop HPC-ready simulation pipelines for large-scale rupture and fracture-fluid systems Optimize performance for modern architectures including GPUs and
-
is necessary to: 1) explore platforms and frameworks that support the development and implementation of the models needed to detect and predict leaks; 2) process real and simulated data that will be
-
) position on the development and application of phase field methods for dynamic earthquake rupture simulations in the context of enhanced geothermal systems, CO2 sequestration, and earthquake physics
-
structured tests (e.g., attack simulations/red teaming). Thus, the specific objectives proposed for the internship are: (i) Analysis of the state of the art of methodologies, mechanisms, and tools for control
-
plan consists of the following development phases: 1) Literature review Survey of the state of the art in pose detection, facial recognition, object detection, and activity detection models focused
-
modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to
-
an agricultural context, in order to complement existing public datasets, which have enabled the validation of the solutions developed and, eventually, the improvement of existing models. This fellowship also aims
-
in modeling and simulation activities, as well as in the dissemination of results. Specific tasks include: A2. Data Collection and Fusion A3. Data Persistence, Security, and Integration A8
-
Energy Modelling and Simulation. The Dworkin group focuses primarily on numerical modelling, but also performs some experiments as needed for certain projects. The group currently has 2 Postdoctoral