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Field
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models using sophisticate genetic tools, in vivo time-lapse imaging and multi-omics methods to decipher the underpinning mechanisms of regeneration. Our findings provide new targetable mechanisms
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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in
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equipment. Access to cell biology and live-cell imaging laboratory. A well-established international collaboration network in biomedical research. Support of team members with diverse backgrounds
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techniques (in particular gas physisorption) and material imaging (optical microscopy, SEM, EDS). 5) knowledge of English at least at B2 level or equivalent, 6) creative approach to problem solving, ability
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(33%) • Conduct full stack development efforts including UI/UX, code maintenance, and deployment pipelines (33%) • Evaluate and refine AI models using annotated data and real-world image datasets (10
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detections of extreme-weather events and subsurface changes, in the seismic zones that affect Kentucky, or their global analogs, and with near-surface imaging for neo-tectonic investigations and other site
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(LLM)-assisted visual analytics of text, images, … Experiences in specific application domains and their visualization needs, especially related to the two DISA-groups of data-intensive digital
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learning and image processing techniques for estimating the onset of arterial disease. 2)Implementation of denoisers as priors for the solution of inverse problems. Implement code in PyTorch and other
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Organization U.S. Department of Defense (DOD) Reference Code USAISR-2025-0004 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The U.S. Army
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Position 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