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candidates must possess an Honours degree with a First Class [1A] designation, or a master’s degree with a substantial research / thesis component. Evidence of journal publications would be highly desirable
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”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in
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, programming, algorithms, and data analysis skills Outstanding research skills Applicants with Master degrees by research with technical publications and research experiences in structural dynamics and
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, or equivalent level, or a master’s degree with significant research component. • Not be receiving equivalent support providing a benefit greater than 75% of the student’s stipend rate. • Meet participating
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values diversity and views it as a contributing factor to student success. We invite applicants to showcase their diversity and performance relative to opportunity as part of the application process.
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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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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