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with a doctorate In-depth knowledge and experience in computer tomography and experimental imaging techniques, demonstrated by publications, scientific documentation, and active participation in
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-scale multimodal neuroimaging dataset, brain imaging quality control and processing. Assist with grant applications, manuscript preparation and supervision of RAs and volunteers. Performs other duties as
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: Professor Zhongwen Zhan) to design, build, and validate a miniaturized Distributed Acoustic Sensing (DAS) system for the lunar environment. Key responsibilities: - Architect and prototype a low-SWaP (Size
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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, and imaging-based omics to deconstruct brain tumour behaviours into their cellular and molecular building blocks. Our research spans the interface of molecular biology, computational modeling, and
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in culturing cells in multi-well plates, transfections and/or high content image analysis would be highly desirable. The postholder should also have a sound knowledge of laboratory safety and H&S
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project quantifying plant anatomical diversity, the developmental processes that generates this diversity, and how this anatomical diversity influences biomechanical properties. The ideal candidate will
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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studies (e.g., EELS, EDS) to probe defect structures and dynamics Apply advanced image processing and analysis; develop AI/ML workflows for quantitative defect characterization Implement high-throughput and
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a team More specifically: - For mission 1: knowledge of signal and image processing, machine learning (PyTorch or TensorFlow + NumPy/SciPy), statistical processing & data and results visualisation