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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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Join a leading cancer research institute in Adelaide, Australia. We are seeking outstanding scientists for two exciting opportunities: Structural Biologist – Dr Qi Zhang’s Lab (https://www.qizhang-lab.com/ ) • Focus: Structure/function of chromatin-associated complexes using cryo-EM and...
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, DECRA and new ARC fellowship) This is an ARC funded postdoc position for developing upscaled single atom catalysts for water purification. To be successful you will need: Completion of PhD degree in
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance
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of the postdoctoral researcher will include: To work closely and proactively with Prof Anton van den Hengel to scope and develop research ideas. To develop algorithms, machine learning models, Python modules
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ideas. To develop algorithms, machine learning models, Python modules, demonstrators and training pipelines for publication and translation into commercial products that can be widely and reliably adopted
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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interpretation and faster decisions for families. This work is already underway in our lab. We’re assembling a strike team of three exceptional postdoc researchers to design autonomous discovery systems