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software frameworks, algorithms, robust testing and validation methods, and/or empirically validated solutions that contribute directly to social good, promoting trust, fairness, transparency, and
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the Monash Centre for Health Research and Implementation (MCHRI), a part of the Monash Health translation precinct, working closely with team members from multiple departments across these organisations. About
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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, computer science, software/systems engineering, and data science. Experience with NLP/LLMs and/or requirements engineering is highly desirable; familiarity with model-based systems engineering, safety-critical
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, degree certificates and official grading system (if available), supported by scanned copies of relevant certified documentation ● English language proficiency test results (if applicable) ● Names and
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the ability to plan, organise, manage multiple tasks and meet deadlines, and Have analytical thinking, data analysis and critical problem-solving skills How to Apply Please complete the Expression of
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of generative artificial intelligence in the research project either as a phenomenon being directly tested and studied, or as a substantial component of the research design or methodology. Proposals
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proficiency test results (if applicable) Names and contact details of 2 academic referees Copy of your current passport (if available) Once you have discussed your EOI with Dr Keele, please submit your
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climate economy in Australia (Dr Svenja Keele ) Communicating Data to Advance Community and Ecological Wellbeing (Prof. Libby Lester ) Making Futures Together: Designing and Testing Creative Methods
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these transformations; Monash University hosts a unique suite of characterisation facilities—including advanced electron microscopy, in-situ analytical tools, and high-temperature testing systems—providing exceptional