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project at the forefront of microscopy and bioimage analysis (https://www.msca-agile.eu/ ) and contribute to OMERO integration and optimization of Biom3d, a cutting-edge deep-learning framework for 3D image
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
applications used by UCSF physicians and clinical staff. This includes (but is not limited to) Voice Recognition Systems, PACS, Vendor Neutral Archive (VNA), Enterprise Image Viewer, and other imaging post
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basic technologies, computer vision, image understanding, and other multi-media sensing and recognition techniques are widely studied. In addition, machine learning including deep neural networks
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Number: 7068272 Assistant/Associate/Full Professor in Veterinary Diagnostic Imaging Online applications must be received before 11:59pm on: May 3, 2026 If a date is not listed above, review the Applicant
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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations
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trafficking. You will utilize single-cell transcriptomics and high-resolution multiplexed imaging to map cellular landscapes in mouse and human tissues. Additionally, you will conduct mechanistic studies
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systems for the acquisition of multi-angle observations of scenes with reduced revisit times, with particular reference to 3D tomographic imaging applications and to the integration, through artificial
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of Medicine’s Department of Imaging. This role will be embedded in the Centre for Medical Imaging (CMI), working closely with the head of department, Professor Punwani, supporting the Department of Imaging
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publications and success in competing for third-party funding, and the recognition as a board-certified specialist for urology. We expect a highly accomplished physician and scientist with a nationally and
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equivalent to a Danish master’s degree. We encourage you to read more in the assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database/?set_language=en