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Field
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imaging pipelines, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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. The applicant will join a well-funded lab to engage in basic and translational neuroscience research. The laboratory uses in-vivo and in-vitro recording techniques including 2-photon imaging, whole-cell recording
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, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
of computational neuroscience and medical image analysis. Preferred Qualifications, Competencies, and Experience Strong organizational skills. Special Physical/Mental Requirements Special Instructions
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methods to advanced imaging techniques. Currently, a number of mathematical models exist to describe the onset and progression of Alzheimer's Disease and the effects of anti-amyloid therapies on disease
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sciences and energy; social sciences; arts and humanities; and computer and information sciences. The Research Foundation, a private, not-for-profit corporation, is an employer separate from both SUNY and
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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Responsibilities Specific responsibilities will include data acquisition (flow visualization, particle image velocimetry (PIV), pressure, acoustic, and high-speed video/kinematic measurements), analysis, and
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their degree in the near future) in Cancer Biology or a related field. Proficiency in experimental techniques such as cell/organoid culture, library construction, imaging and handling animal models. Experience