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, laboratory automation, and data science, this role offers an extraordinary platform to elevate your research career within a world-class, collaborative environment. Why You Should Apply Be Part of a Major
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the cutting edge of respiratory health care. What you’ll do: Collect and manage clinical trial data (quantitative and qualitative) Deliver trial interventions and assist with patient-facing studies
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. The successful candidate must hold a PhD in particle physics or a closely related discipline. This is an exciting opportunity to develop your research expertise, collaborate within a leading particle physics
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observational transient group, the national OzGrav Centre of Excellence transients working group, and international collaborators in supernova physics, stellar evolution, nucleosynthesis, and multi-messenger
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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be in support of a project to develop and demonstrate micro-scale intracranial probes to sense the extremely small magnetic fields resulting from the currents flowing along nerve cells due to brain
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of Psychological Sciences and Turner Institute for Brain and Mental Health, the position will support study coordination, data collection and management, data analysis and evaluation of a digital brain health
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into this position you will hold a doctoral qualification in the relevant discipline area or equivalent accreditation and standing together with subsequent research experience, have a demonstrated ability to carry out
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Engagement: Participate in departmental workshops, research committees, and occasional research-aligned teaching development activities. What We’re Looking For Qualifications A PhD in Computer
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industry partner, CSL Behring. These datasets hold critical patterns, anomalies, and insights that traditional methods miss. You will develop, test, and evaluate robust, interpretable machine learning models