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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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imaging technologies, such as cryo-electron tomography (cryo-ET) and expansion microscopy, have been pivotal in advancing our understanding of the structure and function of motile cilia. In contrast
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prehistoric explosive eruptions, such as St Vincent, Dominica and Montserrat. Use standard petrological analysis, together with Scanning Electron Microscopy (SEM)and Electron Backscatter Diffraction (EBSD
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
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organoids, single cell multiomics, live cell imaging, and animal models. Tasks: to actively pursue the PhD project with the aim of characterizing the molecular and functional mechanisms of epithelial
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after damage. The applied techniques will include e.g. mouse and human kidney organoids, single cell analyses, proteomics, metabolomics, live cell imaging, and animal models. Tasks: to actively pursue
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epithelial cells and neurons in the intestine. The applied techniques will include molecular and cellular biology methods (e.g. neuroepithelial co-cultures, organoid cultures), advanced imaging (e.g
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of Coastal Ocean Dynamics conducts laboratory- and field-based research, by developing and deploying unique, novel high-resolution imaging systems to investigate submillimeter-scale turbulent dynamics in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
related to the cannabinoid and neuroHIV fields, including behavioral pharmacology studies, in vivo calcium imaging studies, as well as studies that focus on harvesting of CNS tissue, and