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contact Grace O’Donohue ([email protected] ) for further information regarding the project, scholarship details and application process. Application Close Date: Sunday 04/10/2026 11:55pm AEST
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an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at [email protected] in an email titled 'Reasonable Adjustments Request' for a
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Education programs by managing complex administrative functions, supporting governance processes, and delivering a high quality student experience. You will provide specialist advice, contribute to data
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throughout all stages of the research process. In this role, you will design and deliver high-quality research, engage collaboratively with Aboriginal and Torres Strait Islander participants, communities and
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-dependent process to a device-assisted platform by integrating zero-net-mass-flux synthetic jets, piezoelectric actuation and quantitative aerosol diagnostics into an adaptive soft-mist inhaler. Funded
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interacting with these systems, including difficulties understanding eligibility requirements, producing relevant documents, and navigating complex administrative processes. The PhD project will generate in
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Length and Kolmogorov complexity", Computer J
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specialist technical and scientific expertise within the Platform, with a primary focus on the independent operation and management of X-ray Photoelectron Spectroscopy (XPS). You will provide expert technical
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experience, deemed equivalent by the GRC (or delegate). The ideal PhD candidate will have: A strong background in machine learning, deep learning, and signal processing Proficiency in Python and machine
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strengthen grant applications Manage compliance with funding body requirements, institutional policy, and relevant legislation Contribute to continuous improvement of research management systems, processes