292 postdoctoral-image-processing-in-computer-science "https:" positions in United States
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with experience in various fluorescence microscopy-imaging systems. Candidates must have effective oral and written communication skills. APPLICATION PROCEDURE: Apply online at https://uva.wd1
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research facilities, and high-performance computing resources. Education Requirement: - MBBS, MBBCh, MS, MD, PhD, or MD/PhD in Radiology, Medical Physics, Biomedical Engineering, Computer Science, or a
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The Korem Lab in the Department of Systems Biology at Columbia University Irving Medical Center is seeking a Postdoctoral Research Scientist who will analyze exciting multi-omic datasets (mechanics, imaging
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experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data
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Ph.D. in electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from
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include HMC investigators from Radiology, Neurosurgery, Vascular Surgery, and Mechanical Engineering and be based at the Harborview Medical Center to help develop and expand the imaging research program
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that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
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products from airborne and space-borne imaging spectroscopy missions, e.g., the HyspIRI airborne campaigns, DESIS, HISUI, and Hyperion. This effort will also inform the science data processing architecture
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community using computational approaches to study brain and behavior. NYU has excellent cognitive neuroscience research facilities including MRI, MEG, EEG, and TMS. Postdoctoral Associates will also receive
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of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing