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Field
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. Specifically, our core technique is scanning electrochemical cell microscopy (SECCM) , a powerful electrochemical imaging method for probing electrochemical processes at nanoscale sites on complex electrodes. We
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Molecular Physiology is an open, collaborative, and stimulating research environment with broad expertise including cellular biophysics, specialized imaging, computational modeling, aging, and proteomics
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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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scientific journal Extensive experience working with mice Extensive experience with imaging methods in vivo Extensive experience performing complex imaging analyses (e.g. calcium imaging, cell migration
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executing research projects involving three-dimensional imaging, intraoral scanning, digital metrology, computational analysis, surgical guidance systems, and related biomedical technologies. This position
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-adaptation of pathogenic Leptospira. Qualification: An expertise in cell biology, molecular biology, transcriptomic and genomic analysis, imaging and/or infectious models will be appreciated. Starting Date
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are invited for motivated scholars with a strong background in synaptic physiology and live imaging to join the laboratory of Pingyue Pan at the Department of Neuroscience and Cell Biology at Rutgers University
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experience in image-based phenotyping, artificial intelligence applied to grapevine breeding, genome-wide association studies (GWAS), genomic selection (GS), and statistical analysis. Mandatory requirements
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currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission
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(HAI)(link is external) . Research Focus The fellow will lead computational modeling efforts to develop large-scale, multimodal models of the human brain. The work will involve integrating brain imaging