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advantageous. Proven expertise in handling large datasets and time-series analysis. Familiarity with electricity market data is a plus. Advanced Python programming skills, preferably with experience in machine
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This project will involve epidemiologic analysis of FluTracking and published data to explore how self-testing and vaccination behaviour have evolved over time and characterise interventions and
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deep learning, imaging and data analysis would be helpful for this project. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts
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analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models. Knowledge of machine learning, AI techniques, and
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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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drones can capture visual and thermal imaging at a very high resolution, suitable for detecting photovoltaic modules and the cleanliness of solar panels. These images and other data can be processed by
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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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quantitative skills, including familiarity with research methodologies, data analysis, and statistical tools are desired for this project. A solid understanding of pharmaceutical sciences, including relevant
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Status: Closed Applications open: 27/02/2025 Applications close: 8/04/2025 View printable version [.pdf] About this scholarship Description/Applicant information The PhD project forms part of an ARC
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of potential options for implementation. This will include prototyping and testing of various implementation options, analysis and documentation of results. Project 2 - Future Power System Modelling: As part of