Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
-
networks. C2 research that better reflects the rich dynamics and complexities that occur in real-world contexts has the potential to result in major benefits for many sociotechnical systems. Therefore
-
systems, tephrochronology, and Quaternary geochronology. These tools will be applied, for example, to study the dynamics of active caldera complexes (e.g., Toba in Indonesia and/or Cerro Blanco in Argentina
-
dynamics model that incorporates a range of net zero technologies and lifestyle solutions along with social and political drivers and barriers to adoption. By doing so, it will guide and enable policymakers
-
grow new materials by molecular beam epitaxy, or create heterostructures of materials by exfoliating and stacking atomically thin layers from crystals, and fabricate nanoscale electronic devices
-
will work within a dynamic, multidisciplinary research environment, with access to state-of-the-art facilities and direct industry engagement. About You To be suitable for this role you will need to have
-
fracture outcomes using a static locked femoral nail or a femoral nail in the dynamic mode with a sliding lag screw. Clinical factors (including analgesic requirements, Time up and go) and radiological
-
pioneering PhD project in partnership with ANCA, a world leader in CNC grinding machines and motion control systems. Supported by the prestigious Growth SUPRA PhD Scholarship, you'll join a dynamic research
-
numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
-
publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data