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relevance across various surgical procedures and patient groups. Objectives 1. Algorithm Development: (a) Design and implement a deep learning algorithm for CT scan analysis. (b) Train, validate, and test the
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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
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N/A Footnotes for the table Masters Programs at AQF9 where the second-year research component qualifies for an RTP 1 EFTSL research project similar to Honours that is part of a coursework Masters
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observational research (e.g., simulations) and/or lab or field experiments Experience with the analysis (e.g., sequential analysis, multilevel modelling) and interpretation (e.g., conference presentation
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clinicians and community members, and contribute to the analysis, interpretation and reporting of study findings, as well as to the design of the intervention involving pharmacists and rural health staff. As
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pipelines (80% plastic, 20% metal) for distribution. Despite this potential, there are concerns regarding the compatibility of the materials used in gas transport with hydrogen and the feasibility
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understanding of principles of hydrometallurgy and minerals processing. - Strong skills in collecting, recording, and analysing experimental data and the statistical analysis of data. - Ability to interpret
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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, functionalising, and characterising nanoparticles for targeted delivery in the human body. Responsibilities also include in vitro cellular testing, data analysis from cytotoxicity and bioavailability studies, and
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, neuroscience, medicine, or a related field, with familiarity in experimental research and neuroimaging techniques. Skills in data analysis, particularly using EEG, and a strong understanding of cognitive