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: Completion or near completion of a PhD in either machine learning or a related area, OR HCI, human factors, psychology applied to AI, or a related area. Required: An emerging profile in research in the area of
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You Completion or near completion of a PhD in the computer science or relevant field. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with Multimodal Foundation
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bioinformatician/data scientist to use modelling and machine-learning approaches to learn from large data sets to inform further strain engineering or bioprocess optimisation rounds. Whilst the role is academic in
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, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Through UQ’s Health Research Accelerator