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sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity of the next generation of multiple
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organisations and co-develop an aligned and shared vision in the form of adaptive pathways for each infrastructure organisation. These cross-sectoral pathways take into account what happens now and in relation
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beneficial – but not mandatory – if applicants demonstrate alignment with one of our research centres (described above) or faculty research strengths. We offer A fully funded position with access
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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aligns with the objectives Early expressions of interest are encouraged, as interviews may be held on a rolling basis. The candidates will need to satisfy all admission requirements for the University
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tools will be integrated from the outset to evaluate and minimize environmental impacts across all stages of synthesis and formulation. The project will align with industrial standards and regulatory
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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. Applications in all areas of research are welcome, but these should be aligned with UniSQ Flagship Areas . Each flagship scholarship offers an optional Industry Stream, which requires a mandatory 60-day industry
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publications combined in the field of radar. It is aligned to our strategic priority of expanding our critical mass on multistatic radar, which is currently supported by prestigious and large initiatives