-
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
-
characterization for parameters like particle size, surface charge, drug loading capacity, and in vitro release profile. The second stage involves in vitro cell culture studies using GBM cell lines (e.g., U87-MG
-
distribution, and kinetic parameters for step reactions. Revealing catalyst electronic structures and reaction energy barriers using ab initio calculations. Significance To date, over 70% of electricity in
-
the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
-
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
-
qualifications in psychology, human factors, artificial intelligence, human computer interaction, or a discipline that could shed light on individual and team dynamics within the context of command and control
-
, power, IT, or computer engineering students eligible to enroll in a PhD by research degree Eligibility criteria Full-time enrolment Successful recipient will collaborate with our industry partner in
-
p.a. for expenses per candidate for items such as a computer, publishing fees, travel or conference costs. Scholarship Details Maximum number awarded 1 Eligible courses Any applicable HDR courses