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promotions process. About You PhD in a relevant discipline (e.g., environmental science, hydrology, environmental engineering, pollutant modelling, or environmental risk assessment). Demonstrated expertise in
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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research
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the causes of paediatric brain cancers and develop new therapies. With the recent establishment of an mRNA vaccine trial to treat paediatric brain cancer by our laboratory and colleagues we continue to
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people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash
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genuine career progression opportunities via the academic promotions process. About You Appointment to this role is subject to the successful completion of relevant pre-employment checks, which may include
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the causes of paediatric brain cancers and develop new therapies. With the recent establishment of an mRNA vaccine trial to treat paediatric brain cancer by our laboratory and colleagues we continue to
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Fellowship Guidelines for details) This is a two-stage application process: Stage 1. EOI, and Stage 2. Full Application by invitation only. Applicants must identify an Academic Contact from their intended
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an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a
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genuine career progression opportunities via the academic promotions process. About You For appointment at Level A Completion or near completion of a PhD in a relevant field e.g. Quantitative Genetics, Crop
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on site/WFH options and flexible start/finish times, access to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process. About You Completion