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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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. The latest advanced techniques in machine learning and computer vision for image content analysis will be applied to generate data for dynamic species distribution models. This data will in turn be used
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technicians as well contributing to standard operating procedure and policy review and development. We are seeking someone with degree in Veterinary Science, who holds registration, or is registerable, as a
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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help shape enhanced processes, guide strategic decisions, and support the university’s commitment to the National Higher Education Code to Prevent and Respond to Gender-Based Violence. You’ll be a
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strong internal and external stakeholder relationships to deliver on project goals. As the successful candidate, you will coordinate project selection and review processes, manage communications and
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development lifecycle greatly improves its quality and productivity. Here calls for a systematic development lifecycle for the DL systems. Due to the fundamentally different programming paradigm and logic
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support regulatory and ethics processes Engage with diverse stakeholders including researchers, clinicians, and consumers Play a central part in ensuring the success of a program honoured with the Fiona
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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. If you need any reasonable
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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 confidential discussion. Your