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below or contact Assoc. Prof. Maggie Zhai via email maggie.zhai@rmit.edu.au Position Description - Research Fellow (Postdoc) - Level A Please note, if you are viewing this advert from an external site
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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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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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proteins, combined with methods such as microscale thermophoresis will also be used to characterise enzyme activity. The postdoc will also co-supervise PhD students and Honours students. Outputs will include
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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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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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to the safe and efficient operation of research equipment, infrastructure, methodologies and protocols Contribute to the upkeep of the project website and ensure safe handling and disposal of research materials
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expertise in digital imaging technologies and data-driven research solutions. Apply for and manage competitive research funding, including joint projects with colleagues. Supervise and mentor Honours and
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supporting a diverse range of imaging and analytical instrument platforms. About the opportunity Elaborate new methodologies applied to critical mineral research with a focus on REE and Li Identify efficient