12 computer-science-image-processing-"DIFFER" positions at Monash University in Australia
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Allied Health Care is on the lookout for their next Lecturer/Senior Lecturer to join their team within the department of Medical Imaging and Radiation Sciences. This 6.5 month opportunity aims to prepare
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time. Our Faculty of Information Technology is globally recognised (ranked #40 in Data Science & AI, QS 2025 and #61 in Computer Science, Times Higher Education 2025), with our DSAI department leading
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time. Our Faculty of Information Technolog y is globally recognised (ranked #40 in Data Science & AI, QS 2025 and #61 in Computer Science, Times Higher Education 2025), with our DSAI department leading
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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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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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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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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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random but can only happen along particular directions. However, as the material is made up of many crystals, and they all have different orientations, the deformation process of a polycrystalline material
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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for monitoring and controlling the brain with medical devices and imaging brain activity in new and important ways. Required knowledge Statistical signal processing, Statistical Inference, Machine learning, Deep