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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 43 minutes ago
interpretable artificial intelligence to improve prediction accuracy while ensuring biological interpretability. The candidate will contribute to building computational frameworks that integrate diverse imaging
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Mississippi. Apply computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate
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proteins and perform western blotting to quantify results. Perform image and data analysis using MATLAB and FIJI, and summarize results by generating appropriate graphical output in Matlab or excel. Keep
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contribute to the excellence of our academic community. The Emory University Department of Biomedical Informatics is recruiting for a post doctorate in the area of computer vision, image processing, machine
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Description The Kim Lab is seeking a full-time postdoctoral scholar with experience in single-unit/LFP recording and/or calcium imaging in rodents. This NIMH-funded position focuses on investigating the neural
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, imaging, and electrophysiological techniques to elucidate novel mechanisms governing neuron communication at the molecular, cellular, and circuit levels. Responsibilities Independently lead research
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gene expression and processing (i.e transcription and RNA splicing). Some specific projects include 1) understanding how particular arrangements of sequence elements are read by the splicing machinery, 2
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– immunofluorescence and confocal imaging Molecular bench work — basic molecular skills are required (molecular cloning, genome editing, etc.) Data analysis – basic skills in bioinformatics or genomic data analysis
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engineering, rehabilitation engineering, or a research doctorate in a related field. Significant experience in biomechanical and musculoskeletal imaging data collection, processing, and analysis. Significant
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). ● Prototype and evaluate data system components or extensions to existing open-source engines. ● Publish in top-tier conferences (SIGMOD, VLDB, PODS, ICDE, ICDT, etc.) and participate in the wider research