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Medical Computer Vision Experience with Large Language Models and Generative AI Experience working with real-world EHR and imaging data Experience working with PACS and the DICOM standard Preferred
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applying multivariate and post-acquisition processing approaches to complex spectroscopic and imaging datasets and developing reproducible data-analysis workflows. Develop correlative and multimodal
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research experience in medical-image segmentation and three-dimensional anatomical-model development. Experience processing CT, MRI, or comparable volumetric medical-imaging datasets. Demonstrated ability
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www.daslabpombe.com. For this research, we will use yeast genetics, live-cell imaging, protein dynamics, in vitro reconstitution, quantitative microscopy, and mathematical modeling approaches. Our lab is well equipped
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, and integrated imaging-therapy platforms Translational immunotherapy — combining ultrasound priming with CAR T and other cellular therapies for solid tumors What We Offer Competitive NIH-scale salary
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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physicians. Career opportunities upon completion of the postdoctoral training include: Clinical medical physics Medical imaging computer programming Radiation therapy computer programming As a successful
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team environment Basic molecular biology expertise and familiarity with imaging microscopy techniques Previous experience working with animal and/or cell-based experimental models Previous first author
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aspects of the position include chronic microelectrode implantation surgery, neural recording (electrophysiological and imaging), calcium imaging of electrically stimulated ex vivo retina, behavioral
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across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three distinct problems: rare-event searches in particle