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(AIED) and Educational Data Mining (EDM) projects with Professor Kalina Yacef. These projects explore how multimodal data from online platforms and sensor-based environments can be harnessed to enhance
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the primary responsibility of performing metallomics studies including the preparation of responsive fluorescent sensors for application in biological studies. This project is funded by a grant from the Human
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ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research
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project is an international collaboration involving a wide network of Australian and international researchers investigating fossil reef systems from across the Indo-Pacific, including the recently drilled
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activities. The Sydney EarthBank node will join the national AuScope Geochemistry Network , an Australian consortium of Earth Science institutes cooperating to develop national geochemistry research
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network of academic, industry and professional partners and stakeholders skills in qualitative research methods and ability to lead research involving interviews and focus groups experience conducting
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characterization techniques experience conducting original research and/or engaging in scholarly activity a developing network of academic, industry and professional partners and stakeholders skills in qualitative
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facilities at the University (e.g., Adelaide Microscopy, MASS) and to the wider network of expertise at The University of Adelaide, CSIRO, Geoscience Australia, and through the ARC Training Centre. To be
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as required About you PhD or PhD under submission in biomedical engineering, dentistry or relevant field a developing network of academic, industry and professional partners and stakeholders a
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or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging project governance, systems thinking, and intelligent control