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at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics Enquiries: Yuling Wang at yuling.wang@mq.edu.au Applications Close: Wednesday 9th of July at 11:59pm (AEST) Applicants must have valid work
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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and feedback. The successful applicant will work on designing and developing an architecture for modelling and simulating aggregated entity behaviours, in an event driven architecture paradigm, under
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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(Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics If you're already part of the Macquarie Group (MQ University
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mathematics or a related discipline, combined with experience in microbial culturing techniques and imaging/microscopy. With a growing publication track record and a clear ambition to build a research career
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mathematics or a related discipline, combined with experience in microbial culturing techniques and imaging/microscopy. With a growing publication track record and a clear ambition to build a research career
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approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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mathematics or a related discipline, combined with experience in microbial culturing techniques and imaging/microscopy. With a growing publication track record and a clear ambition to build a research career
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface