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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
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, signal processing and inverse modelling. The role is based at the Image X Institute and will be led by Dr Chandrima Sengupta. You will benefit from a strong mentoring environment; lead and be part of high
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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Work with the Stehbens Group at AIBN, to conduct molecular, biochemical and live-cell imaging experiments of cell culture
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lung health, across a range of laboratory and imaging programs. Role Summary This role will help to develop lung function-based respiratory biomarkers through AI, machine learning and image processing
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network of academic, industry and professional partners and stakeholders proven experience supervising and mentoring others strong skills in research, planning and organisation, computer literacy, effective
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documentation and publication processes from drafting through to submission engage with internal and external stakeholders to support effective communication and collaboration process research purchasing and
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provides access to core equipment such as imaging, flow cytometry and other state-of-the-art tools. You will be able to develop strong working relationships with your colleagues and contribute to a stable
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, clinical specialists, and affiliated partners to share findings and progress manage the documentation process for research publications, from drafting to submission, and maintain comprehensive research
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metal matrix composite (MMC) coatings. You will help fill critical knowledge gaps in process monitoring, optimisation, and control for laser cladding, contributing directly to the development of a cost
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harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances