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underwater communications is necessary. Conventional approaches in underwater communications only develop fixed models based on human knowledge or understanding which cannot fully cover the highly dynamic and
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dynamics model that incorporates a range of net zero technologies and lifestyle solutions along with social and political drivers and barriers to adoption. By doing so, it will guide and enable policymakers
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. Fixed term, full time position available for 2 years with a possible of extension. Train with an amazing group of molecular biologists focussed on addressing critical gaps in our understandings
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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spectroscopic techniques, theoretical modelling, and precise synthetic control – have significantly improved the activity, selectivity, and stability of CO₂-to-alcohol conversion. Key catalyst systems include Cu
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the structure and function of chromatin-associated complexes involved in gene repression. About Us: We are a dynamic and international team working within the South Australian immunoGENomics Cancer Institute
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track
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into the learning dynamics and learnt features of neural networks, this research has the potential to significantly improve the interpretability and reliability of AI models. Enhanced interpretability will enable
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for