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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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to in vivo calcium imaging studies characterising modality-specific sensory encoding and applying neuroanatomical tracing and activity-dependent genetic labelling to map central connectivity of carotid
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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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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 effective
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
estimation in robotics, stochastic control in systems and control theory, stochastic image processing or probabilistic computer vision). The School/Department The School of Engineering brings together a
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research