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of a PhD in experimental solid-state quantum computing. Postdoc (research scientist) experience is desirable. A growing profile in research in research in the area related to circuit QED and/or
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technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
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engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
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health lens to addressing hearing loss in adults. This program aims to reshape how hearing care is viewed and delivered—shifting from a specialist-driven, clinic-based model to a more accessible
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infrastructure, enabling sophisticated geospatial, isotopic, geochemical and temporal analyses of critical mineral systems. Develop and implement data models following FAIR data management guidelines and tools
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proteins, combined with methods such as microscale thermophoresis will also be used to characterise enzyme activity. The postdoc will also co-supervise PhD students and Honours students. Outputs will include
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available for two years. Keywords: Geometric Deep Learning, in particular Graph Neural Networks, Deep Reinforcement Learning, Generative Modelling, in particular Denoising Diffusions, Combinatorial
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. Proficiency in deploying and managing wildlife camera‑trap networks and processing large image datasets. Experience developing and validating machine‑learning and AI models for image object detection and
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We are seeking a Senior Research Fellow (Clinical) to lead research that supports the co-design, implementation, and evaluation of innovative, multidisciplinary team (MDT)-based primary care models
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collection methods. You’re skilled in developing computational models and deep neural networks that reflect principles of human cognition and brain function. Your academic record includes high-quality peer