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in conducting independent research project in deep learning, computer vision, image processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep
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media flow, electrochemistry, bubble dynamics. Demonstrated experience in experimental fluid mechanics, electrochemical measurements, flow diagnostics, high-speed imaging, image processing, or
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experience working with MRI analysis pipelines and neuroimaging software (e.g. FSL, ANTs, FreeSurfer, MRtrix or similar), proficiency in Python and command-line scripting for data processing and automation
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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including astronomy, astrophysics, physics, computer science, data science, electrical and telecommunications engineering, software engineering, signal and image processing, machine learning, and related
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across a range of disciplines including astronomy, astrophysics, physics, computer science, data science, electrical and telecommunications engineering, software engineering, signal and image processing
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materials preparation and digital image capture, processing and quality assurance. Task organisation and time management skills and ability to meet deadlines, as well as ability to work independently
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collections. Experience working with Samples in a molecular laboratory setting. DNA-based species identification and/or phylogenetics. Specimen imaging, image management or associated digital
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eligible for this scholarship. Preference will be given to those whose research aims to apply information/image processing to studies in medicine, the physical sciences, astronomy or engineering. Ross