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Field
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, medical images, patient logs and other relevant health related data points. Assist in managing study portals, data pipelines and visualization dashboards. Assist in maintaining production systems currently
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engineering pipeline, developing usable and innovative solutions to build a prototype of sustainable online tools and services that are relevant and useful to a broad range of stakeholders making decisions
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and focusing performances, with the aim of getting down to a spot size of less than 50 µm for chemical imaging of biological tissues by mass spectrometry. Different strategies can be followed: 1
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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/ The SEISCOPE consortium studies high-resolution seismic imaging based on full waveform inversion. More specifically, we focus on full waveform inversion applied to large-aperture/large-azimuth (or global offset
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Experience Experience with cell culture, molecular biology, biochemistry, light microscopy and image analysis are preferred. Experience with coding in Python and R is preferred. Special Physical/Mental
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368225 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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mechanoelectrical feedback, it requires specific tools to uncouple them and to decode the transformation of complex acoustic stimuli by the brain. In the lab, we are developing electrophysiological and imaging
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within a Research Infrastructure? No Offer Description Our research focuses on computational imaging for biomedical applications. By integrating advanced numerical methods with customized optical imaging