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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
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the energy market, Role of EVs in the grid, Power System Stability Analysis Using Machine Learning Techniques and more. Eligibility Requirements: Applicants must be Australian citizens or Permanent Residents
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polymer chemistry or tissue engineering. Strong skill set for data analysis and interpretation, coupled with excellent written and verbal communication abilities. Ability to work effectively in a