64 computer-science-image-processing-"Multiple" Postdoctoral positions in United States
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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to manuscripts and grant proposals stemming from the BrainHealth Project. Physical Demands and Working Conditions Long hours working on computer. May be required to attend meetings andevents off-site and/or after
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information at BNL | Benefits Program This is a joint position between the National Synchrotron Light Source II and the Condensed Matter Physics and Materials Science department, which plans to develop new
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vision transformer or large vision AI model Expertise in high performance computing Expertise in image and spatiotemporal data processing Expertise in federated learning on large computing clusters A
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
provide the candidate with access to complementary expertise, resources, and scientific perspectives across multiple disciplines. Minimum Education and Experience Requirements Ph.D. in a biological science
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
biomaterials, or image processing and computational modeling is preferred. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick
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-640; Gastroenterology 2021 Jul 8:S0016-5085(21)03159-0; Nature Reviews Cancer 2023 Mar 27:1-20, Nature Cell Biology, 2024 May;26(5):840). Our program is well-funded by NCI, with multiple R01 grants and
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multiple current grants funded by the NIH, NSF, and others for work related to traumatic brain injuries, cancer, imaging, and biomedical technology. Our faculty and graduate students enjoy an association
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, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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community assets using multiple data sources and spatial tools. The role emphasizes project leadership, transdisciplinary research across environmental, social, and political sciences, and interaction with