Sort by
Refine Your Search
-
, in the Faculty of Business & Law at Curtin University, is seeking one (1) doctoral applicant (PhD) to join an Australian Research Council [ARC] Discovery Project, namely: Optimizing Benefits
-
mechanisms involved in the leaching of copper concentrate by glycine solutions. • Optimize process parameters such as temperature, pH, glycine concentration, and particle size to maximize copper
-
earthquake, will be investigated through a combination of experimental, numerical, and analytical studies. This scholarship application is open until filled. Student type Future Students Faculties and centres
-
system (DDS). Based on the existing findings on BBB, develop and optimize DDS for itraconazole delivery. Potential DDS options are liposomes, polymeric nanoparticles, and inclusion complex formation. DDS
-
investigate the optimal methods for combining multi-satellite InSAR with a network of Kurloo GNSS devices to provide robust 3D ground motion monitoring from space. The potential benefits may include
-
inorganic AEMWEs by integrating the perovskite electrolyte with perovskite electrodes from cell fabrication to cell configuration optimization and to single cell performance. Significance The project has
-
to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic
-
-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
-
to understand the roles of the geometrical properties and the surface chemistry on CO2 adsorption in the developed porous carbons, to facilitate the optimized adsorbents development. Student type Future Students
-
experience. Additionally, the applicant should preferably have experience with: working with children; posture/physical activity research; sophisticated numeric data analysis. Application process Please