Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
stiffness by changing their composition and self-assembly process. The relationship between nanoparticle structure and stiffness will be determined both through experimental and modelling approaches. Finally
-
applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
-
, internal student and commence by 1 January 2026 Have a background in material/mechanical/chemical engineering or chemistry or physics or similar field, and First class or second-class division A bachelor
-
having knowledge about theoretical computations and modelling will be highly preferred. The PhD candidate should have a strong interest in materials chemistry, good understanding of crystal structure, as
-
conducted with different composite material parameters (thickness, lay-up, and types of fibre and matrix) in order to develop optimised FML composites with high durability and fatigue life. The expected
-
technological solutions for the recycling of waste heat in specific food industry settings, using computational fluid dynamics modelling, lab experiments and field work To disseminate finding in high impact
-
The scholarship provides a minimum stipend of $34,481 each year for three years to perform experimental investigations and developing mathematical models to valorize waste and produce carbon nano
-
commence by 1 January 2026. Have a background in material/mechanical/chemical engineering or chemistry or physics or similar field, and: First class or second-class division A bachelor honours degree (GPA
-
intensive approach to maximise resource recovery and minimise contaminants transfer into the environment. This project will involve a literature review followed by experiments and modelling closely working
-
symptoms. Alexithymia is a major focus of our lab's research, whereby we have created new theoretical models of alexithymia (the attention-appraisal model of alexithymia; Preece et al., 2017), new