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this role, please contact Max Kelly (Associate Professor, International and Community Development) via max.kelly@deakin.edu.au For a copy of the position description, please see below: Level-B---Research
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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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frameworks, such as PyTorch (preferred) or TensorFlow, with a preference for experience implementing SOTA models and training procedures from academic journal papers. Development of data engineering pipelines
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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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copy of the position description, please see below: Associate Research Fellow (Level A).pdf Research Fellow (Level B).pdf Applications for this position close on 25th June 2025. Are You Ready? Deakin is
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University of Western Sydney | The University Of Sydney, New South Wales | Australia | about 1 month ago
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
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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