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demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. 2) Using Advanced Imaging-derived Biomarkers to Predict Health Outcomes: Neurological problems, such as stroke
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Computational Color Research, Image Processing, Computer Vision. Knowledge of latest generative architectures Good programming skills using Python Other merits Experience superior to that required in similar
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translational research team and help shape the future of pediatric leukemia treatment through image-based drug profiling. We’re looking for a dedicated Postdoc to join our research team, where science meets
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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bigger picture, and have vision for the future development of the project a demonstrated capacity to conduct theoretical research in quantum information theory. Desirable criteria include: demonstrated
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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug
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, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking
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invites you to apply to the role of Postdoctoral Research Associate I. The Brain Imaging, Behavior and Aging Lab in the Department of Psychology conducts research studies using neuroimaging techniques
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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, prototyping and data analysis to contribute to innovative translational near-infrared spectroscopic and tomographic imaging systems and clinical applications. The candidate will lead the design, testing and