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to work with a team of leading researchers, to undertake your own innovative research in and across the field. Eligibility To apply for this scholarship, you must meet the entry requirements for a Doctor of
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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key contributor to our research team, you will pioneer AI-driven methods to analyse cancer-related biological data, aiming to uncover novel patterns and mechanisms underlying cancer progression and
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in expressing and purifying large multi-subunit protein complexes and analysing them through in vitro methods. Extensive experience in structural biology techniques, especially with cryo-EM
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, you must, within twelve months prior to the application closing date: Have completed or been enrolled in the Doctor of Philosophy- Medicine, Dentistry and Health Sciences in the Department of Obstetrics
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
and compounds to create test environments to trigger bacterial responses. Using transcriptomic, proteomic and metabolomic analyses, we will monitor the responsiveness of several bacterial species
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. The candidate will work with a team of other PhD candidates studying at National Drug Research Institute and the Burnet Institute across a diverse range of topics. Candidature would be full time and analyses will
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to meet the entry requirements for a QUT Doctor of Philosophy including any English language requirements. Enrol as a full time, internal student (unless approval for part-time and/or external study is
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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to integrate floating offshore wind turbines and wave energy converters to capture wind and wave energy. The hybrid system’s dynamic responses will be investigated and advanced vibration control technologies