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Field
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extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Biomedical Engineering, Medical Physics, Electrical, Computer Engineering or a
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, or MATLAB) are required. Knowledge in one or more of the following areas is desirable: biomedical imaging, biomedical optics, computer vision, bioinformatics, single-cell profiling technologies, spatial omics
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of the line manager. To design and develop novel and cutting-edge machine learning, computer vision and image processing frameworks for tasks such as object detection, segmentation, pose estimation, scene
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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diseases, functional connectivity, graph theoretic, &/or machine-learning based approaches to imaging analysis are all a plus. • There will be a significant amount of flexibility based on the post doc’s
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by developing theories, principles, tools and methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of microscopy and imaging techniques is a plus. Willingness to learn new in vivo and in vitro techniques, such as performing animal surgeries, intra-muscular, intra-articular and intravenous injections
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, research, and public service. Job Description Purpose: The Department of Electrical and Computer Engineering and AggieFab Nanofabrication Facility at Texas A&M University seeks a Postdoctoral Researcher to