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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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. Occupational Summary The Duke Neuroradiology Division specializes in CT fluoroscopy guided spine intervention procedures to treat pain as well as the diagnostic workup and treatment of patients with CSF leaks
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); in vivo surgical techniques; ex vivo glial cell cultures and analysis; endpoint tissue collection and processing (e.g., flow cytometry, immunohistochemistry, ELISAs, Westerns, qPCR); microbiome and RNA
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to treat neurological disorders, including epilepsy, movement disorders, pain, addiction, and neurodegenerative diseases. Contribute to groundbreaking research with real-world impact. Key Responsibilities
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image analyses of anatomical data in a supportive and collaborative environment. Our goal is to advance bioelectronic medicines: electrical stimulation, block, and recording of peripheral autonomic nerves
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beamforming and signal processing methods. The successful applicant will have : A PhD in biomedical engineering or related field Experience in conducting clinical imaging studies Excellent writing and verbal
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the Bartesaghi Lab at Duke University to work in the development of image analysis and machine learning methods applied to protein structure determination using single-particle cryo-electron tomography (ET
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circuits that regulate motivational and emotional states. The lab uses many state-of-the-art techniques, including deep-brain calcium imaging (2-photon in vivo microscopy) with single-cell resolution and
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sensing but the Ryan Lab also has expertise in the use of drones and high-resolution image analysis to study ice sheet processes. For more information see the Ryan Lab website. TERM: One year, with
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members support in data collection, image processing, map improvement, structure analysis, model building, and validation. Specific areas of research are investigation of multiprotein-nucleic acid complexes