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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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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
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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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origami synthesis and characterisation. Previous experience with non-academic and industry projects is desirable. Demonstrated expertise in supramolecular chemistry, computational modelling, and/or
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SRH’s Program 1 (Process Integration and Sustainability) and undertake a new research activity under Project 1.2.4 – Numerical Modelling of Electric Smelting Furnace Phenomena: Melting of Direct Reduced
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tools to tackle some of the most complex questions in brain science. As a Level A research-only academic, you will contribute to projects that integrate computational models with experimental neuroimaging
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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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information, please click here to view the information booklet. If you are unable to access this link, please email talent@uq.edu.au for a copy of the booklet. Please note, you must maintain unrestricted
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of transitions in both domains. The successful candidate will be expected to develop testable hypotheses that can be applied to new model systems, such as bee colonies, in collaboration with the project team