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earth systems. There are also opportunities for biogeochemical modelling as part of the position and either some knowledge of, or interest in, this would be ideal. To be successful you will need: PhD
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data (e.g. DFT, MP2) and experimental data into AI-driven pipelines for structure–property learning and reactivity prediction. Applying AI models to real-world problems in virtual screening, ligand
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geochemistry and the evolution of Proterozoic earth systems. There are also opportunities for biogeochemical modelling as part of the position and either some knowledge of, or interest in, this would be ideal
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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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, animal models of disease and data analysis strong publication record in peer-reviewed journals demonstrated ability to independently design and execute experiments proven track record of generating high
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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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marketplace. We offer undergraduate programs in Economics, Finance and Marketing, postgraduate programs in Finance and in Marketing and Blockchain Enabled Business and higher degrees by research (Masters or PhD
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Computer Engineering at the University of Sydney is seeking to appoint a Research Associate or Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of accelerating
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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the Job related to staff position within a Research Infrastructure? No Offer Description Full-time, Fixed Term for 3 Years Salary Academic Level A6-B1 ($102,047 -$115,303 p.a.), depending on post-PhD