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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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(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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experience in protein expression, purification, and biochemical characterization, particularly of nucleic-acid processing enzymes. Knowledge in advanced imaging techniques, such as single-molecule fluorescence
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tasks. As imaging sessions take place in the evening, some work outside regular hours will be required. The remaining 40% of your role will involve research and professional development. You will have the
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to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university
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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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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
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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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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
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