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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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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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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
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applying online or for further information on completing the application process please visit our how to apply page or contact us . Further information Additional information is available in the position
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processes that arise in light–matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured optical fields. The successful candidate will work
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Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy
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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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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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. The successful applicant will demonstrate clear potential to become a leader in their field, with a strong research trajectory focused on computational modelling of molecular interactions and regulatory processes