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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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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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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
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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. The research will be conducted in close
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addressing the skills and experience listed in the Position Description. A copy of the Position Description can be found on JOBS@UNSW . Contact For more information please contact Frank McHenry, Talent
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broad range of contemporary health-care related issues including: • Health Services Innovation • Integrated Care Models • Health Workforce Development • Symptom Management. What you need to succeed
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data