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Full-time, fixed term opportunity for two years Position description: Postdoctoral Research Associate in Neuroimaging Neuroscience Location: O’Callaghan group, School of Medical Sciences, Faculty
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
looking for a Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon who has: a PhD (or near completion) in environmental science, computer science, engineering
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process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated
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Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record (relative to opportunities) in research on disaster management, extreme contexts, and resilience including a body
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tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data
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• Discounted health insurance through Medibank • Onsite vacation care • Employee Assistance Program (EAP) • Subsidised membership at the Sport & Aquatic Centre • Onsite GP, imaging, and physio clinics How
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the Role The Postdoctoral Research Fellow will contribute to a range of research and research translation activities as part of an Australia Economic Accelerator funded project developing a prototype
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! Key responsibilities will include: Research: Support large-scale cognitive neuroscience research on brain stimulation, imaging, neurofeedback and neuropharmacology; develop a coherent research program
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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The Postdoctoral Research Fellow will contribute to a range of research and research translation activities as part of an Australia Economic Accelerator funded project developing a prototype using Large Language