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integrated with, or operate alongside, metal detectors to deliver cutting-edge detection capabilities. Applications of this research include: Detection of subsoil layers, utilities, landmines and IEDs, UAV
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for listening and reading. Experience in working with human participants, strong technical skills, and experience with data and statistical analysis. Experience in neurostimulation (e.g. transcranial magnetic
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to undertake research in the field(s) of Product Development and Artificial Intelligence, Sustainable Building Practices, and Data Analysis. The nature of the research and development activities for the research
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analysis, using cutting-edge techniques including dynamic contact angle measurement, X-ray diffraction, mid-infrared spectroscopy, and synchrotron-based approaches to understand the mechanisms driving SWR
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors
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of hydrogen migration through isotopic, noble gas and micro thermometric analyses of hydrogen-bearing inclusions. Eligibility: Applicants may include Australian citizens, permanent residents of Australia and
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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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Engineering. Familiarity with partial differential equations (PDEs) numerical analysis and / or data science and statistics will be an advantage. Number of scholarships: One Contact person: Associate Professor
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Scholars will be required to participate in the HDA Research Training Program during their candidature. The program consists of a 20 hour practicum placement, mentoring component, and attending and assisting
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to undertake research and development activities in the areas identified below: State level climate vulnerability assessment for SA Aquatic Ecosystems (climate change/water) Analysis of rainfall data to identify