Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
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
-
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
-
, and gas-liquid interface management. To overcome these limitations, this project aims to develop a next-generation electrolysis platform that integrates CO₂ capture and conversion in a single
-
charge which provide an ideal interface between human-built devices (where signals are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical
-
of innovation leaders with the skills to work at the interface of research and industry in Australia.The program will include:•admission to Queensland University of Technology's PhD program•supervision
-
invitation to apply to the Monash PhD program will be issued and the Faculty process will be underway. Enquiries: Further enquiries about the scholarship or application process should be directed to structured
-
Degree by Research (HDR) project “Electromagnetically driven flows in electrolyte layers with free interfaces”. Funded by the Australian Research Council (ARC), this theoretical/computational project aims
-
temporal variability, and how they contribute to the total emissions. This may reduce emissions of methane. The opportunity Admission to RMIT University PhD program A four-year scholarship valued at $47,000
-
Scholarship in CSIRO Industry PhD Program - Project 1: Resilient & Practical Quantum-Safe Threshold Cryptography Job No.: 678541 Location: Clayton campus Employment type: Full-time Duration: 4-year
-
Scholarship in CSIRO Industry PhD Program - Project 2: Techniques and Frameworks for Enabling Post-Quantum Cryptography (PQC) Migration Job No.: 678538 Location: Clayton campus Employment Type: Full