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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
, Competencies, and Experience Exposure and familiarity with biomedical imaging and modeling approaches including MRI, post-processing techniques for images of muscle and bone, and biomechanical modeling software
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). • Carry out acquisition, processing, and analysis of behavioral, EEG, and fMRI data. • Ensure ethical compliance of experimental activities and guarantee adherence to consent and confidentiality procedures
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samples for immunofluorescence staining (IF) or immunohistochemistry staining (IHC) including embedding samples for paraffin sections, staining fixed samples with antibodies and imaging using light
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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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for the processing and analysis of multimodal spatial biology datasets. Design and apply advanced image analysis algorithms for cell segmentation, feature extraction, and debarcoding for lineage tracing. Statistically
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R Holland, a preclinical research group with expertise in primary headache disorders, electrophysiology, disease modelling, behaviour, chemogenetics and in vivo neural imaging technologies
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indicators (GEVIs) for single-neuron, single-spike resolution recordings in behaving animals. The incoming candidate in the Kannan lab will apply advanced optical tools and multipopulation voltage imaging
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plasticity. P3Cell includes 50 transdisciplinary members covering molecular and cell biology, pneumology, pathology, bacteriology, thoracic surgery, pediatrics, otorhinolaryngology, informatics, and emergency
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, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with