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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to modulate protein translation. This project will use RNA cross-linking technology to understand all of the RNA-mediated control elements that contribute to the system of regulation that links metabolic needs
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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Remuneration: AUD 36,063 per annum (tax-free stipend) (2025 rate) Monash Engineering is a leading global centre for research consistently placing highly in international ranking lists. We engage with industry
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(Research) - 2-year fixed-term appointment Remuneration: AUD 36,063 per annum (tax-free stipend) Monash Engineering is a leading global centre for research consistently placing highly in international ranking
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(Research) - 2-year fixed-term appointment Remuneration: AUD 36,063 per annum (tax-free stipend) Monash Engineering is a leading global centre for research consistently placing highly in international ranking
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receive a tax-free stipend of $52,352 per annum (2025 full-time rate) plus the opportunity for a paid internship with the Australian Energy Market Operator (AEMO) The Opportunity: Monash Engineering is a
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ethics An ability to engage in legal research, including familiarity with legislation, regulations and case law, would be advantageous but is not essential for the role To Apply This position has a two
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infancy and across the lifespan. Drawing on the expertise of our staff and the University' unique research platforms and technology, our mission is to sustain and build on Monash's position with world-class
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in an innovative and interdisciplinary approach. A background in science and engineering or social science and policy analysis is desirable. Experience with systems modelling (e.g. system dynamics
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can provide powerful models for classifying and understanding protein structures, but expert supervision is required in the development, training and deployment of these models into automation scenarios