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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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that effectively combat misinformation. This PhD project will address this critical challenge by developing novel software engineering techniques, methodologies, and tools designed specifically to detect, mitigate
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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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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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the development of near-real time 3D hazard monitoring for critical infrastructure, extending to pre-collapse alerts, thus reducing the risk of catastrophic events. This research scholarship is specifically
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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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. Once the models are incorporated into a single System Architecture it will be analysed. The analysis will look at: the limits of the models. This will help to identify what has been and has not been
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recognised research partnership formed between the Indian Institute of Technology Kanpur and La Trobe University that brings the two organizations' research capabilities together to build a critical mass of