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Field
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-dimensional imaging data. Actively prepare and submit postdoctoral fellowship applications. Contribute to scientific publications and grant proposals. Supervise PhD and/or Master’s students. Actively
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team includes a medical PhD student with pathology expertise who performs surgical specimen collection, tissue slicing, micro-CT scans, histological processing, and initial registration. The postdoc will
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organosulfur compounds using infrared and/or ocean color observations. Processing and analyzing satellite imaging spectroscopy data and integrating these with in situ and geophysical datasets. Lead dissemination
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volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background
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Computer Vision and Generative AI. The successful candidate will join a dynamic research environment and contribute to cutting-edge research at the intersection of computer vision, generative artificial
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learning, as well as in digital signal processing and acoustic imaging. The group includes around 20 postdoctoral researchers and PhD research fellows funded by a range of national and international agencies
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omics data (genomics, transcriptomics, proteomics, metabolomics) and integrative multi-level analysis Experience in medical image processing and analysis (MRI, PET, digital histology, microscopy
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You will: Lead a project on synaptic and circuit mechanisms underlying sensory processing in V1 Implement advanced in vivo approaches, including two-photon imaging, optogenetics, and/or
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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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: The project aims to develop a novel mechano-Raman imaging platform to map mechanical deformation in polymeric materials with high sensitivity. By combining the design of vibrational force probes with advanced