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Qualifications - External Minimum Qualifications Education: Ph.D. in psychology, neuroscience, engineering, or related field is required. Experience: Background in MRS or MRI Knowledge and Skills • Programming
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undergraduate students. Applicants must have a PhD in psychology, cognitive neuroscience or a related field. Strong neuroimaging data processing skills relevant to the project are required. Applicant must have no
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cutting-edge knowledge. Required Qualifications & Experience PhD in a relevant field, including Biophysics, Cell Biology, Neuroscience, Cancer Biology, Biomedical Engineering, Bioengineering, or related
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
of Biomedical Engineering with affiliations in Neurosurgery and Neuroscience Center The laboratory focuses on translational neuro-engineering research – developing novel therapies to improve sensorimotor function
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, Communication Sciences, Psychology, Neuroscience, Engineering, Computer Science, or a related field is required. 2. Strong analytical skills and experience with programming language(s) (MEG analysis in our lab is
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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working on several projects involving medical image analysis, neuroimaging, and neuroscience. This position is based in the Developmental Network Neurobiology Lab in the UF School of Medicine in
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, and metabolic disorders. Experimental approaches include genetically engineered mouse models, MI and sepsis (CLP/LPS) models, aging and metabolic disease models, and molecular, cellular, imaging, and
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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to intervention). Researchers face these same challenges creating a bottle-neck to research at scale. While education technology companies have built products that lower the demands on teachers, many