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machine learning model to optimise sensor configurations (for multiple unit sensors) for a given application. The project will bring together Soft Matter, Biomedical Engineering and Data Science to generate
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neuroimaging techniques. You will conduct both neuroimaging and neural network modelling studies to determine whether and how combining information across multiple sensory modalities (vision and touch) may
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projects in the marine domain. We envision that you harness the power of AI, specifically in computer vision applications, as well as sensor technology to enhance fisheries, aquaculture and ecological
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(CNNs)—SAR images, along with other ocean remote sensing observations, can exhibit very longrange correlations. This characteristic challenges the application of standard CNN-based vision models
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ideas and results in a strong interdisciplinary context (ecology, computer vision, machine learning experts) but also a non-scientific audience (end-users) Class B driving license Your LIST benefits
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ideas and results in a strong interdisciplinary context (ecology, computer vision, machine learning experts) but also a non-scientific audience (end-users) Class B driving license Your LIST benefits
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services to advance the Department’s research enterprise and strategic vision, the Department has witnessed unsurpassed enthusiasm and support for research over the past year. The Division of Medical
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beyond those of the individual building blocks. To date, these structure-property relationships of the assembled particles are not adequately understood. The technological visions of these new materials
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beyond those of the individual building blocks. To date, these structure-property relationships of the assembled particles are not adequately understood. The technological visions of these new materials
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that go far beyond those of the individual building blocks. To date, these structure-property relationships of the assembled particles are not adequately understood. The technological visions of these new