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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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financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable
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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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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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. • Pharmaceutical analysis: Professor Kevin Batty from Curtin University • Cell culture investigations: Professor Yu Ishima from Kyoto Pharmaceutical University • Animal experiments: Professor Kazuaki Taguchi from
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for policy, practice and advocacy. The mixed-methods project will use a combination of participatory approaches including but not limited to GIS mapping, stakeholder analysis, network and systems mapping
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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
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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