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. Daniel Hayes, Department Head of Biomedical Engineering Dorothy Foehr Huck and J. Lloyd Huck Chair in Nanotherapeutics and Regenerative Medicine. Other project will include identifying genomic structural
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neuroscience, psychology, biomedical engineering, psychiatry, computational neuroscience, or a related field Required Qualifications: • Experience conducting human subjects research • Strong quantitative and
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. Minimum Qualifications Applicants must have obtained a doctoral degree (MD, PharmD, or PhD) in one of the following disciplines: Pharmaceutical Sciences, Immunology, Cell Biology, Biomedical/Chemical
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biomedical engineering, (bio-)physics, applied physics, materials science, (organic) chemistry, or equivalent Experience with optical characterization of materials (e.g., UV-Vis absorption) In vitro
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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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required for this position. More About This Job Preferred Qualifications: PhD in quantitative field, such as biomedical physics, engineering, computer science, data science, bioinformatics, computational
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data
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successful completion of a background check. A drug screen or physical may be required during the post offer process. Additional Information: Job Requirements: Required: PhD in computer science, biomedical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
or related Engineering or Physics. Required Qualifications, Competencies, and Experience PhD degree in Biomedical/Electrical or related Engineering or Physics. Experience with MRI acquisition and data analysis