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Field
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/Qualifications Applicants should hold a PhD in Computer Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image
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Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image reconstruction and data analysis. The PhD students will be working at Monash Biomedical Imaging and Faculty of
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domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three distinct problems: rare-event searches in particle detectors
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, OX3 9DU This role will be to develop and apply image processing algorithms and software, to process two-timepoint (longitudinal) data from UK Biobank brain imaging. This will involve development of
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efficient and interpretable image processing, vision-based perception and planning modules to accurately predict driving trajectories and controls for high-fidelity autonomous driving. Additionally
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, you will streamline image processing efforts and enable the elucidation of specific mechanisms of water-material interactions. Your tasks -design and implement the agentic framework including task
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own output, you will streamline image processing efforts and enable the elucidation of specific mechanisms of water-material interactions. Your tasks -design and implement the agentic framework
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neural networks and physical models. Required skills: * Technical: - Image processing and computer vision skills: feature detection and matching, image registration and fusion, 3D reconstruction - Deep
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incumbent will be able to perform routine image processing and analysis of neuroimaging dataset. This position does not have supervisory responsibilities. Primary Duties and Responsibilities: Performs a
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artificial intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three