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related to the upper human airway. The successful candidate will contribute to cutting-edge research projects involving computational models, medical image data processing, and developing idealized and
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models, bioluminescence Imaging, and animal necropsy. Other wet-lab techniques or assays maybe involved depending on how the project progresses. Required Qualifications* PhD (or equivalent) in Biomedical
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development, data analysis and inference, and image analysis ▪ Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and
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Questions Get answers to applicants’ frequently asked questions, from eligibility to the review process, categorized by each disease program. Read FAQs Guidelines From file type and size to formatting
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platform that utilizes deep learning to analyze images of bruises. Responsibilities: Responsible for developing components of the project platform or deep learning application; Supervises a team of graduate
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extracellular vehicle or exosome therapy, c) in vivo electrophysiology, signal processing, or brain imaging. Other lab experience is helpful but not required: patch-clamp, brain slice cultures, optogenetics, and
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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studies fundamental processes in endothelial cells driving cardiometabolic diseases including atherosclerosis, thrombosis and type 2 diabetes. In particular, the team interrogates the role of endothelial
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Musculoskeletal and Skin Diseases (NIAMS ) National Institute of Biomedical Imaging and Bioengineering (NIBIB ) Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD ) National
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Observatory system, with a particular focus on flux calibration and image quality considerations. Once the system is in operation we intend to fully exploit the data set to address forefront open questions in