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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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Is the Job related to staff position within a Research Infrastructure? No Offer Description You are keen on contributing to new advances in deep learning methodology for imaging for monitoring marine
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attention using psychophysics, TMS, imaging Clay Curtis - action selection and working memory using imaging and eye movements Claude Desplan - color vision in Drosophila using imaging and physiological
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and applied research in one or more of the following areas: collaborative robotics, manipulator robots, compliant robotics, human-robot interaction, computer vision, artificial audition, signal
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on challenges related to computer vision for geophysical image data. You will investigate and develop robust methods for training models, exploring/developing approaches for multimodal data, utilize context
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photoelectrochemical ammonia synthesis funded by the Australian Research Council The successful candidate should have research experience in electrochemical technology and prototype design. They will have excellent oral
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in research related to NIH and industry funded projects in nuclear medicine imaging and dosimetry. This includes clinical trials in radiopharmaceutical therapy for prostate cancer and neuroendocrine
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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programme of work Carrying out a range of experimental protocols, including tissue culture of human pluripotent stem cells, embryo model generation, imaging, molecular characterisation etc. Fully analysing
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motivated Post-doctoral Fellow with a background in neurophysiology and animal behavior (including two-photon imaging in behaving animals) to join the Zong group at the Kavli Institute for Systems