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aims to pair the brightest minds with the best research infrastructure under a tailored mentoring approach. Our department is dedicated to unravelling the complexities of molecular processes and their
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and standing recognised by the University/profession as appropriate for the relevant discipline area (e.g., AI/Machine Learning, Bioinformatics). A proven track record of research and scholarly
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, plant, livestock, and atmosphere processes. In this role, you will support the development and delivery of predictions of wood products, carbon and water use for the Australian forest plantation sector
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in the discipline area (which can include
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of common reasonable adjustments please click here . The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional
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, the rules, processes, systems and institutions used to regulate employment and workplace relations, and with demonstrated ability to conduct and manage independent research and high-level communication
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, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in
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the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information In order to apply
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contribute to impactful multidisciplinary projects. As the Facility Lead and Research Infrastructure Specialist, you will take primary responsibility for the operation and strategic development of the IONTOF
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for the manufacture of computer chips. The project is supported by the Australian Research Council Linkage Project “Innovative Double Patterning Strategies for Integrated Circuit Manufacture” and is within