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research related to management and analysis of complex data sets. Data Management research storage, indexing and querying of complex data algorithms for managing big data efficiently at scale Big Data
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, including large language models (LLMs). Proven application of ML techniques to system security, particularly in the context of complex computer systems or networks, is highly desirable. Extensive experience
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technologies on economic systems, the economics of AI), behavioural economics, game theory, microeconomics, time series analysis, big data, and machine learning. Proficiency in statistical software such as R and
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successful for this position, you will have: Demonstrated ability to coordinate and deliver large foundational and advanced courses in Food Microbiology and Food Safety, taught across both semesters
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, identifying and implementing technical improvements, and supporting large-scale service rollouts. You are confident developing and maintaining PowerShell scripts, applying ITIL service management processes, and
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products. Skilled in translating complex technical issues for diverse audiences, you are collaborative, adaptable, and confident working in large and complex environments. Vendor certifications (e.g. CCNP
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systems and workflows support RMIT’s scale and dual-sector context. Embedding continuous improvement methodologies and using data to measure and demonstrate benefits. Partnering with stakeholders across
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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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including substantial record of research outputs in high quality outlets. Demonstrated ability to coordinate and teach large courses in a range of electronic, embedded systems and computer engineering areas
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administration, and enjoys working in a collaborative team environment. To be successful in this position, you will have: Some experience in administrative support in a university environment or similar large and