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Field
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-scale neural dynamics during cognitive tasks. The PDRA will develop cortically-embedded models of visual cognition that can interact with images and/or videos in a way that is species-specific. Extensions
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experiments using molecular biology, genome engineering, proteomics, microscopic imaging, and electrophysiology. Establishes new research protocols and procedures. Provides intellectual contribution to other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
comprehensive neurovascular research program by contributing to imaging and clinical data acquisition, anatomic and procedural labeling, and support other aspects in the design and execution of translational and
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technical skillset through expert-led training in smFRET imaging to perform experiments, analyze complex datasets, and develop quantitative models to explain GPCR signaling mechanisms. • Work independently
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histology, immunohistochemistry, in situ hybridization, organoid/tissue explant cultures, and live imaging. Analyze complex data, including bulk, single-cell, and spatial transcriptomics datasets. Present
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documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your
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microscopy, depending on the candidate's expertise; - analyse quantitative biochemical, biophysical, imaging, and cellular data; - integrate experimental findings with computational predictions generated
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on imaging concepts, knowledge of Matlab, Python programming languages and commercial software based on the finite element method is a plus, excellent communication skills (written and oral) in English. A very
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the encoding and propagation of sound intensity information. The postdoctoral fellow will perform viral vector injections into the cochlea and the brain, image the labeled neurons, and generate a three
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method Experience from using 3D clinical images to derive computational modelling geometries Experience from tissue musculoskeletal biomechanics Experience from studies of mechanobiolgical modelling