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Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows Job No.: 690226 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration
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of Trustworthy AI and Cybersecurity. In this research-focussed role, you will lead and contribute to cutting-edge projects focused on evaluating, building, and deploying secure software systems powered by AI
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activity. The probes to be developed will utilise a quantum sensor based on optically detectable defects in diamond that are sensitive to magnetic fields. To be appointable into this role you will hold a PhD
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our world-class facility. This isn’t just a lab role. This is a pivotal position where you will act as a scientific consultant, an innovative method-developer, and a key research driver. You will work
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the goal of protecting 30% of lands and waters by 2030. The successful candidate will have a PhD in conservation science, applied ecology, decision science, marine ecology, environmental science or a closely
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extended periods of international fieldwork. About You As the successful candidate, you will hold a PhD in economics, agricultural economics or a closely related discipline, with strong quantitative and
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degree, progress towards a PhD, or a completed Doctoral qualification (PhD) in structural biology, biochemistry, microbiology, or a closely related discipline. Essential Knowledge & Skills: Protein
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research environment through collaboration with colleagues and the supervision and mentoring of research assistants and students. The role provides an opportunity to apply advanced statistical methods
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work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI. Working closely with
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. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI