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. An exciting opportunity is available for a Research Fellow to support the design and delivery of this complex program, ensuring rigorous methodology, data integration and high-quality outputs. The role includes
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key part in advancing translational research, with a strong emphasis on assessing brain exposure in vivo using quantitative analytical approaches. Key responsibilities include: Designing and conducting
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design, advanced laboratory work, and biosensor testing. Developing wearable biosensing technologies, particularly microneedle‑based systems. Contributing to the academic environment through publications
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activities. You will also engage in professional development opportunities, including participation in conferences and seminars, while helping to generate insights that inform policy and service innovation. As
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shaping laboratory culture and capability. What You Will Do • Conduct high-quality research under limited supervision and contribute to peer-reviewed publications • Design and perform advanced laboratory
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-emission processing pathways. You will design and conduct laboratory experiments, apply advanced microstructural, thermodynamic and kinetic analyses, and collaborate closely with an interdisciplinary team
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, characterization and evaluation of novel PfM1 and M17 aminopeptidase inhibitors. This would include compound design, data management and analysis and sample preparation as well as a range of drug discovery-related
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extraordinary ideas - and the people who discover them The Opportunity Join a world-class research environment at Monash University and contribute to cutting-edge innovation at the intersection of nanotechnology
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-emission processing pathways. You will design and conduct laboratory experiments, apply advanced microstructural, thermodynamic and kinetic analyses, and collaborate closely with an interdisciplinary team
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genome editing in human cell models Exposure to multi-omics approaches (RNA-seq, ATAC-seq, CUT&RUN or similar) is highly regarded Demonstrated ability to design and execute complex experiments with minimal