233 postdoctoral-image-processing-in-computer-science Postdoctoral positions in United States
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comprising immunology, cell biology, developmental biology and computational biology to complement our primary tools from intravital microscopy. The postdoctoral scholar will have direct access to a brand new
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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/ ) at the Keck School of Medicine. The research project will involve the use of in vivo electrophysiology, acoustical measurements, and optical imaging techniques (Optical Coherence Tomography) to assess hearing
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Title of the Position: Postdoctoral Associate – Cancer biology and genomics (Aitken Lab) Department and School: The Center of Molecular and Cellular Oncology (CMCO) and Department of Pathology, Yale
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wide range of disciplines. Learn more about UNLV's postdoctoral scholars. MINIMUM QUALIFICATIONS This position requires a PhD Degree in Computer Science, Electrical Engineering, Environmental Engineering
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candidate is expected to have access to a reliable internet connection for duties undertaken remotely. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a
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Title of the Position: Postdoctoral Associate – Computational cancer biology (Aitken Lab) Department and School: The Center of Molecular and Cellular Oncology (CMCO) and Department of Pathology
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development, service delivery with an overarching objective connecting science with society. This encompasses the development of infrastructure and processes for data standardization, data warehousing, quality
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imaging and surgery. The postdoctoral scholar will be co-mentored by Professor Joseph Liao in the Department of Urology and Professor Lei Xing in the Department of Radiation Oncology. Creative, highly
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g