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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Associate position involves laboratory research in biomedical science. The position studies focus on an animal model of arthritis and include in vivo studies (muscles and behavioral analyses, imaging
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aerospace research. 3. Perform complex techniques or procedures including but not limited to: a. Utilizing confocal, fluorescence and live microscopy to image tissue and cells. b. ELISA, mass spectrometry
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Diseases (NIAID ) National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS ) National Institute of Biomedical Imaging and Bioengineering (NIBIB ) National Institute on Deafness and Other
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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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Posted on Wed, 02/12/2025 - 13:20 Important Info Deprecated / Faculty Sponsor (Last, First Name): Han, Summer Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR
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Apply now Job no:535308 Work type:Faculty - Other Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants, Chemistry, Human Physiology, Neuroscience, Engineering/Biomedical
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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qualifications Candidates should have training or experience with biomedical optics and intravital imaging. Experience with optical system design, circuit design, and computer programming will be particularly
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. Familiarity with medical imaging processing and reconstruction techniques