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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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Candidate will use techniques such as germline/tumour sequencing data, plasma analysis and work with patients’ immune cells work to identify key functional targets. They may perform epigenetic techniques, DNA
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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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for this scholarship you must: Have a first-class Honours degree in Computer Science or equivalent Have strong computational, programming, algorithms, and data analysis skills Provide evidence of adequate oral and
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techniques to obtain an overall status of an operational PV array and identify specific PV strings or modules for further detailed analysis and monitoring tasks. Then other methods will be studied and
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delivered to approximately 300 individuals online to test for its efficacy in reducing distress at 1 week, 1 month and 3 months after the intervention. A prospective analysis of the real-world choice and use
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conceptual and methodological framework to address this emergent more-than-human politics. A thoroughgoing critical analysis of frameworks of environmental governance is needed, alongside the development
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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
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utilize a range of state-of-the-art mineral characterization and isotopic analysis techniques available at the John de Laeter Centre (https://jdlc.curtin.edu.au/facilities/ ). This opportunity also
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in an innovative and interdisciplinary approach. A background in science and engineering or social science and policy analysis is desirable. Experience with systems modelling (e.g. system dynamics