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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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Engineering. Work assignments The postdoctoral position centers on developing innovative algorithms and conducting advanced research in the field of digital image/video forensics. The work will specifically
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 20 hours ago
approaches, our overarching goal is to tackle two urgent and timely issues: 1. Survival under Heat Stress: Investigating how different organisms man age mRNA regulation to adapt and survive in the face of
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in Generative AI-Driven Data Synthesis for Building Energy Modeling, placed at the Department of Science and Technology, Division for Media and Information Technology, Campus Norrköping. The postdoc
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advanced imaging, electrophysiology, and molecular techniques. Division The Department of Neuroscience at Karolinska Institute is internationally recognized for its excellence in neurobiology research, with
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Title: Postdoctoral Research Associate Employee Classification: Postdoctoral Research Assoc. Campus: University of North Texas - Health Science Center Division: HSC-Provost & Exec VP SubDivision
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detection, segmentation, classification, and pose estimation, as well as integrating these models into real-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video
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including patch clamp electrophysiology, 2-photon biosensor fluorescence imaging, fiber photometry, optogenetics, and rodent behavioral analysis. This position is ideal for a researcher eager to work in a
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the overall quality of images and enable different functionalities. These camera arrays and sensors include a primary camera with high resolution and best overall image quality, and often a wide-angle camera to
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neurosciences. We combine advanced neuroimaging methods (e.g., MRI, fMRI, diffusion imaging, PET) with computational and data-driven approaches to unravel how the human brain processes information and shapes our