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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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soils, with applications in permafrost engineering, cold-regions geotechnics, and climate-driven ground processes. The postdoctoral scholar will lead applied modeling and data-constrained analyses using
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of Iowa Department of Anesthesia is seeking a highly motivated Postdoctoral Scholar to join a research program focused on advancing our understanding of G protein–coupled receptor (GPCR) signaling in
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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data processing and interpretation workflows. The appointee will also pursue a collaborative science program leveraging the developing instrument capabilities, leading to peer-reviewed publications and
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: Job Requirements: Required: PhD in computer science, biomedical informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based
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Substantial published experience with PET imaging analysis. Experience with EEG data analysis or digital signal processing. Working knowledge of scientific computing languages, including Matlab, Python
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cytometry and cell sorting. Collect, prepare, and analyze research data; keep a detailed notebook summarizing experiments and recording research data; maintain computer database of research data; tabulate and
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vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading to new applications of machine learning and artificial intelligence
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experience unless stated elsewhere in the job posting. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science, Electroencephalogram (EEG