82 doctorai research on machine learing based predictive m Fellowship positions at The University of Queensland
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Opportunity The grains industry has a gross value of > $30 billion per year produced from sowing 25 M ha of crops and is a major export industry for Australia. The Grains Research and Development Corporation
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class researchers and industry specialists in the field Based on The Sunshine Coast at the Queensland Government’s Maroochy Research Facility, Nambour, QLD About UQ As part of the UQ community, you will
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machine learning research. This could include experience with generative models (e.g. variational autoencoders, generative adversarial networks, denoising diffusion probabilistic models, generative pre
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non-Indigenous people Evidence-based social and health policies and practices These positions will work on a range of projects, beyond a narrow research specialisation, including Category 1 and
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an impact. Based at the Translational Research Institute - Woolloongabba About UQ As part of the UQ community, you’ll have the opportunity to work alongside the brightest minds, who have joined us from all
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Australian Institute for Bioengineering and Nanotechnology (AIBN) Join a university ranked in the world’s top 50 Access state-of-the-art facilities to further your research endeavours Be part of
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endeavours Based at the Centre for Children’s Health Research next to the Queensland Children’s Hospital, South Brisbane. About UQ As part of the UQ community, you will have the opportunity to work alongside
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responsibilities will include: 1. Research Produce quality research outputs consistent with discipline norms by publishing or exhibiting in high quality outlets. Contribute to the management of the project. Work
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machine learning methods to predict protein structures, predict peptide and protein interactions, and design new peptide drugs and crop protection agents. The work is funded by the Australian Research
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research with limited supervision. An emerging profile in one or more of the following research areas: powder technology, spray drying, nano-cellulose, food proteins, polysaccharides, drying technologies