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Field
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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appropriate. • Deliver computational methods and open-source software for groundwater imaging in representative New Zealand settings. • Publish research in high-impact journals and present results
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contribute to embedded systems development, sensor integration and deployment of prototype devices. Research Fellow - Poultry Systems Validation This role will be based primarily within NTU's Poultry Research
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collaborations with artists, prototype with soft and rigid robots, run mixed-methods user studies, and contribute to the conceptual, methodological and ethical thinking behind the programme, as well as co-author
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seaweed ecology for species recognition with collection material. You will develop a multimodal workflow on integrating hyperspectral imaging, X-ray fluorescence, and RGB images. You will be given ample
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discipline Experience or knowledge in imaging systems, computer vision, or related technical areas Strong analytical, problem-solving, and communication skills Ability to work independently as well as in a
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aims to transform our understanding of early human brain development through the integration of cutting-edge imaging technologies, experimental neuroscience, computational approaches and clinical
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, train, and evaluate machine learning models for image processing and automated detection of animal infestations, wounds, and other indicators of susceptibility to myiasis; and apply computer vision
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prototype. The position combines device development with exploration of use cases and pathways to commercialization, and directly supports NTU’s mission to develop and commercialize emerging quantum computing
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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published