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seeking an enthusiastic BHF Postdoctoral Research Fellow in Molecular Cardiology to work within One Health Cardiology Research Group led by Prof Jeevaratnam at the Faculty of Health and Medical Sciences
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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learning or deep learning research project; (b) evaluate the proposed algorithms; and (c) conduct a real-case analysis. Qualifications For the Research Fellow post, applicants should have a doctoral
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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seeking an enthusiastic BHF Postdoctoral Research Fellow in Molecular Cardiology to work within One Health Cardiology Research Group led by Prof Jeevaratnam at the Faculty of Health and Medical Sciences
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AI solutions? We are launching a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute
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positions are possible if suitable candidates can be identified. The candidate is expected to have a PhD degree in astrophysics or related principles and will work with Prof. Bing Zhang to conduct research in
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and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous PhD project. In addition to electromagnetic geophysics
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electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous
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opportunity, please contact Prof Michael Yu - c.yu@uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au , stating the job reference number (below) in