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linguistically diverse 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
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Support ethics submissions and data management processes aligned with Good Clinical Practice standards Conduct and oversee on-site monitoring visits (including interstate travel as required) Develop study
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are seeking a casual Assets Accountant to deliver high-quality asset and financial accounting services. In this casual position, you’ll ensure the integrity of asset balances, contribute to year-end processes
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of eligibility requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at https://arts.monash.edu/graduate-research/application-process . Applicants
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-computer interaction About the partnership This applied PhD is hosted by Monash University’s Eastern Health Clinical School (EHCS), in partnership with Turning Point and Action Lab. The successful candidate
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linguistically diverse 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
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this role you will be trained to follow existing business processes to provide a range of professional and high-quality post-award administrative services, including: Responding to enquiries via phone and
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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 an email titled 'Reasonable
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synchrotron X-ray characterisation of solution-processed semiconductor films Supervisor: Prof. Chris McNeill, Department of Materials Science and Engineering (Email: christopher.mcneill@monash.edu ) For further
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural