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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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(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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and conversion applications, among other areas. In addition, close collaboration with other LU facilities—such as the 4D Imaging Lab, NanoLund, and MAX IV—will also be possible. Subject description This
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
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records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field
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have experience in routine molecular biology techniques like Western blotting, PCR, immunohistochemistry and/or microscopy. Experience with electrophysiology or live-cell imaging techniques like calcium
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0326-NPP-NOV25-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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strategies — developing systems that can respond dynamically to neural and behavioral signals in real time. Your Role: Develop and evaluate new methods for optimizing DBS therapy — from imaging and modeling
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the imperial collection (quire structure, copyists, watermarks, ruling), potentially including opera scores from other Viennese sources from the period under investigation; Ordering of digital images
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journals and conference proceedings; experience in conducting research on image processing using deep neural networks; knowledge of methods of statistical data analysis; ability to work with large data sets