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Field
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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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(this overlaps with the former themes as 2D and 3D vision is often integrated with language). Related papers by the Vision-CAIR members Theme A : Aligning Latent and Image Spaces to Connect
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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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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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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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science/statistics/applied mathematics/electrical engineering can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision Foreign completed degrees
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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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in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. The position is in the Digital Signal Processing and Image Analysis Group
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generated large-scale, multimodal datasets spanning neural imaging, electrophysiology, behavior, and molecular profiling. While these data offer unprecedented opportunities to understand brain function