Sort by
Refine Your Search
-
developing and training large scale models (cluster-based or distributed training). Your primary focus will be on object sensitive neural compression techniques for low-bandwidth streaming and robust video
-
flow regime ranging from steady laminar to unsteady turbulent configurations, there is also potential to extend the analysis to compressible flows and structural analysis. This research is highly
-
. Tensegrity structures, which rely on a balance of compressive and tensile components, offer unique advantages for space applications, including high strength-to-weight ratios, flexibility in configuration, and
-
efficiency. However, their complex behavior under combined loading conditions—compression, bending, shear, and torsion—poses significant challenges for both design and long-term performance monitoring
-
PhD Studentship: Secure By Design Datasets – Distillation and Privatisation for Future Collaboration
synthetic dataset that both obfuscates and compresses while remaining as true as possible to the sensitive historical data. Academic Institution This is an opportunity to join the Centre for Vision, Speech
-
compression could be minimized, thereby reducing material fatigue and prolonging service life. Candidate will be carrying out research activities under the guidance of a vibrant supervision team across multiple
-
their geometry when subjected to tensile or compressive forces, leading to measurable resistance changes. By applying the gauge factor equation, this resistance change can be translated into strain. Despite
-
especially under compressive buckling loads, potentially leading to catastrophic failure. We have developed new generation of multi-scale composites using graphene/nanoparticles reinforcement in glass/carbon