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program evaluation Data science methods such as machine learning for structured or unstructured data Qualitative case studies This is a research focused position. Further information can be found by viewing
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-trained transformers, structured state space models), vertical and horizontal federated learning, natural language processing (e.g. transformers, large language models), medical image processing, fairness
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The School of the Environment An exciting opportunity to enhance your expertise and research profile in 3D laser scanning of forest structure using drone remote sensing. Can be flexible with
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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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transmission electron microscopy imaging methods for electrocatalyst and membrane materials in carbon dioxide electrolysers. The purpose of this work is to build a better understanding of the structure-property
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parameterisation, molecular dynamics simulations of membrane protein systems, lipid/drug interactions and simulation-guided refinement of cryo-EM structures. Previous experience in molecular dynamics simulations
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Ramacotti Facility for Producing Pharmaceuticals in Plants, and work alongside structural biologists and medicinal chemists. We have a strong network of collaborators including members of the ARC Centre