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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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experience in electrochemical sensor technologies, including surface chemistry, functionalisation, and biomarker detection Proficiency in signal processing, prototype design and integration, and
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– Imaging Technology Design Research Monash University Design Health Collab, nyein.aung1@monash.edu Applications Close: Thursday 31 July 2025, 11:55pm AEST Supporting a diverse workforce
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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Fellow. This role offers the chance to be at the forefront of innovation in chemical biology, with a focus on developing cutting-edge tools for molecular sensing and imaging. Under the guidance of Dr
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of these crystals greatly affects the performance of the metal and hence the performance of components where metals are used - such as in aeroplanes, gas turbine engines, cars, etc. The manner in which such materials
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. Key Responsibilities: Conduct electrochemical sensor testing, integration, and prototype development Process sensor signals and convert readings into protein levels Design PCB boards and integrate
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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confirmation) The Opportunity This is an opportunity for a talented PhD candidate with strong skills in developing prototype systems for Extended Reality (XR - which encompasses augmented and virtual reality
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for assessment and diagnosis. This is typically a lengthy process, which can take up to 12 months in some areas. After this, individuals diagnosed with mild cognitive impairment (MCI) or dementia are then referred