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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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of mechanosensitive ion channels in different cell types in the eye. Relevant techniques include 2 photon calcium imaging, retinal electrophysiology, rodent microsurgery and animal models of glaucoma and other ocular
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to in vivo calcium imaging studies characterising modality-specific sensory encoding and applying neuroanatomical tracing and activity-dependent genetic labelling to map central connectivity of carotid
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experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals. Your research qualities are in line with the faculty and university research policies . You
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justice purposes. Particularly, this WP analyses under what conditions, and in which contexts, different attribution methods overstate or understate the effects of anthropogenic climate change, as
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, they must ensure a sufficiently high level of accuracy to guarantee the reliability required for systems demanding high durability, reliability, and safety. The scientific vision of DuraSyS-PAC is to address
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slide scanner imaging. Data analysis Applies complex statistical analysis tools to data acquired from electrophysiology and imaging. Interprets differences in data, and designs follow-up experiments
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contexts, different attribution methods overstate or understate the effects of anthropogenic climate change, as well as the justice implications derive from them and the adequacy for purpose of such methods