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Opportunity to take on the challenge to develop advanced remote sensing techniques and/or modelling techniques to measure the magnetic field of coronal mass ejections as they travel from the Sun
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Fluorescent colour centres in diamonds are at the heart of many emerging quantum sensing technologies, which are used in applications ranging from biomedicine to defence. This project aims
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The PhD student will work on the synthesis and characterization of new diamond materials for quantum sensing applications as part of a multi-disciplinary team. The PhD student will work on the
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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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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remote sensing, this is your chance to contribute to meaningful, high-impact research while gaining invaluable industry experience. About You To be suitable for this role you will need to have experience
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rooftop solar on First Nations housing (like funding, approvals, and maintenance)? How can we help communities feel ownership of these projects? Training and Jobs: What barriers do regional and remote First
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skills with R, C, C++ or Python. Desired: Knowledge or experience with spatial statistics, spatial modelling or GIS; Some knowledge with ecology; Excellent writing and communication skills; Experience with
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focus. The PhD candidate will based in the Discipline of Rural and Remote Health at Flinders University (https://www.flinders.edu.au/content/dam/documents/colleges/cmph/flinders-rural-health/rural-remote
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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence