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Field
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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team that investigates the the genetic and molecular mechanisms of addiction in a multi-disciplinary approach including genetics, behavior, circuit analysis, imaging, hi-throughput genomics, and
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technologies to prototype future development. * Help researchers prepare manuscripts (write relevant sections and make figures) and presentations. Required Qualifications: * Ph.D. or Masters with equivalent
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
, an active doctoral studies program, and state-of-the-art instrumentation. Onsite facilities include those for flow cytometry, confocal microscopy, live animal imaging, laser capture microdissection, phosphor
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needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project
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-Voltage (IV) curve, Dark IV, Electroluminescence (EL), UV-Fluorescence imaging (UVF), Infrared (IR) imaging). Material characteristics (X-ray Photoelectron Spectroscopy (XPS), Fourier Transform Infrared
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immunology is highly advantageous. Proficiency in core immunological techniques such as multicolor flow cytometry, ELISA, tissue sectioning and imaging, or in vivo mouse models is strongly preferred
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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
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, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively-controlled structural colours