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software (Prism, Origin Pro, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to
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networks. The candidate needs to have a strong background in ML programming, particularly large-scale models, and working with LLM. Familiarity with system security and anomaly detection is desirable. To be
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Fellow will undertake research in applied LLMs, knowledge engineering and geospatial analytics and assist in the development of web application and software packages to translate the research outcomes. In
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ability to provide research leadership, build teams, develop networks, and manage collaborative partnered research projects in a global environment. If successful, you can expect: A Vice-Chancellor's
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or implementing deep learning approaches on existing clinical systems). Experience and interest in grant writing would be viewed favourably. To be successful in this position, you will have: A PhD in a relevant
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- delivering a broad range of programs in Business, ranging from Certificates up to PHD levels. Many programs articulate between Vocational Education and Higher Education, creating pathways for further study
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networks with colleagues and generate alternative funding projects through effective liaison with industry and government. Excellent interpersonal and communications skills appropriate for interacting with
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focus areas. You will embed your research expertise into the life of the School through the development of high-quality, productivity-driven research networks across RMIT and with local and national
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collaborative networks both nationally and internationally. Key responsibilities include: Developing and standardising methods to detect and analyse microplastics in soils and livestock. Establishing
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that are aligned with the University’s research focus areas. You will embed your research expertise into the life of the School through the development of high-quality, productivity-driven research networks across