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to the preparation of publications and grant applications under the guidance of Professor Kim Good-Jacobson. This is a unique opportunity to develop your research career in a collaborative, high-impact environment
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ultrafast light-matter interactions in graphene metamaterials, with the aim of developing efficient thermoradiative devices for harvesting energy from the cold night sky. The Research Fellow will work with
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their as-manufactured state using industry-standard non-destructive testing (e.g. ultrasonic testing). You will also develop microstructure-informed modelling to evaluate in-service performance throughout a
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clinical trial investigating psychedelic assisted psychotherapy for opioid use disorder. The role focuses on developing, implementing and analysing neurocognitive outcome measures, working across both
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Group’s research programme for the development of therapeutic biomolecules. You will work as part of a team using cutting edge synthetic techniques to develop safer drug targeting systems based
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the Faculty of Information Technology. As a Research Fellow, you’ll be at the forefront of developing innovative AI solutions to tackle some of the most pressing environmental challenges of our time. Working
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modelling, and the economics of mental health Support economic analysis of healthcare utilisation, outcomes and costs using national datasets Develop and apply algorithms for cost-effectiveness analysis
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, developing ethics and grant applications and collaborating with stakeholders to achieve project goals. The position requires a doctoral qualification in a relevant discipline, strong analytical skills and
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Recycling. This position supports the development of innovative, evidence-based research into Australia’s legal and regulatory frameworks surrounding carbon mitigation technologies, with the goal of shaping
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry