Sort by
Refine Your Search
-
-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
-
Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
-
materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
-
materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
-
the Department of Materials Science and Engineering (MSE), Faculty of Engineering, Monash University. This PhD project will contribute to MSE’s strategic research initiative on accelerating Australian green
-
/ Eligibility criteria For both domestic and international students. Minimum requirement: Bachelor degree (first-class honours or upper second-class honours) in Chemistry, Materials Engineering or related fields
-
of Materials Science and Engineering (MSE), Faculty of Engineering, Monash University. This PhD project will contribute to MSE’s strategic research initiative on accelerating Australian green ironmaking
-
the Department of Materials Science and Engineering (MSE), Faculty of Engineering, Monash University. This PhD project forms part of the Baosteel–Australia Joint Centre (BAJC) collaboration and will investigate