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will be responsible for working closely with the Principal Investigator to develop a 3D Computer Vision technique for cross modality registration for radar and visual images. The Research Assistant will
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work closely with the Principal Investigator (PI) on one or more research projects. He/she is required to contribute as below: • To construct, analyze the medical imaging data, and define the data
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closely with the Principal Investigator (PI) on one or more research projects and will need to: Construct, analyze the medical imaging data, and define the data analytical tasks, which have the clinical
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closely with the Principal Investigator (PI) on one or more research projects and will need to: Construct, analyze the medical imaging data, and define the data analytical tasks, which have the clinical
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Job Description The successful candidate will work with Professor Mark Breese on Intelligent computer vision algorithms under a project on “Development of Cone Prism Camera Technology”. We seek a
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like CVPR, ICCV, ECCV, NeurIPS, AAAI, ICLR, IJCAI, ICRA, IROS, RA-L. • Research experience in computer vision with image / RGBD data and video understanding. • Strong programming skills in using
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with the following will be preferred (not compulsory): • Prior experience with computer vision developments, such as image classification, object detection and segmentation; • Publications in peer
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to meet specific deadlines. • Review key initiatives and report on progress at management meetings. • Gatekeeping for matters pertaining to corporate identity, logo, School Vision, Mission, Values
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with the following will be preferred (not compulsory): • Prior experience with computer vision developments, such as image classification, object detection and segmentation; • Publications in peer
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Job Description The Centre for Remote Imaging, Sensing and Processing (CRISP), in collaboration with NUS Environmental Research Institute (NERI) and Department of Civil and Environmental Engineering