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available at https://clinical-research.centre.uq.edu.au/odesi About This Opportunity We are seeking a highly motivated Research Fellow to bring their expertise in Data Science and Machine Learning (ML
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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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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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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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for the design of therapeutic RNA candidates. The successful candidate will be based in the Centre for Computational Biomedical Sciences and will contribute to the delivery of the NTRP's mission to grow
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 days ago
Industries (NSW DPI), based in Wagga, NSW. The successful candidate will work within the Research School of Biology, reporting to Professors Danielle Way and Bob Furbank, in collaboration with Dr Harsh Raman
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Initiative, applying their expertise in field experimentation, weed science, and data analysis to generate impactful findings that inform best practices in agriculture. The position offers a unique opportunity
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
, training, mentoring & upskilling opportunities. For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here . To see what the Science and Medicine at ANU
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social-ecological systems research; and experience in aquatic resources and the fisheries sector; Strong quantitative and data analysis skills. Strong interdisciplinary skills across social science