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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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responsibilities will include: Extracting and processing samples for trace organic chemical analysis, including routine wet chemistry tasks such as preparation of chemical solutions, aliquoting, filtration
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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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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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dedicated to developing sustainable polymers and materials via visible-light-driven processes. The core focus of this role is the design and synthesis of novel, recyclable polymeric materials using low energy
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, clinical, and longitudinal follow-up data, including statistical modelling and survival analysis. Process, curate, quality-check, and analyse DICOM imaging datasets across modalities including DBT
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responsibilities will be to: conduct original research in integrated nonlinear and analogue photonics as part of a collaborative research team develop advanced RF photonic signal processing concepts and on chip