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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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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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, information systems, user experience design, game design) Have strong social research (quantitative/qualitative) AND/OR computing design and analysis skills Provide evidence of strong oral and written
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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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, 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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and confident really helps. Some experience or familiarity with CNC machines, surface engineering or automated manufacturing systems. An interest in machine learning or data analysis, especially
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methodologies, including conference ethnographic and or digital ethnographic approaches (e.g. interview and focus group research, discourse analysis or app walkthrough method) How to apply Apply
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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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. • Pharmaceutical analysis: Professor Kevin Batty from Curtin University • Cell culture investigations: Professor Yu Ishima from Kyoto Pharmaceutical University • Animal experiments: Professor Kazuaki Taguchi from