63 postdoc-computational-biomedical-engineering Postdoctoral positions in United States
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
at conferences, and contribute to grant proposals. Minimum Education and Experience Requirements Ph.D. in biomedical engineering, electrical engineering, physics, computer science, or other related field is
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: PhD in biology, physiology, biomedical engineering, or a related field. Demonstrated skill in handling mouse and rat pups, small animal procedures, and in vivo imaging. Familiarity with cardiac
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Carolina 27708, United States of America Subject Area: Biomedical Engineering / genome engineering technologies Appl Deadline: (posted 2025/04/22, listed until 2025/06/30) Position Description: Apply
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: Epidemiology, Biomedical Informatics, Biostatistics, Public Health, Computer Science, Health Services Research, or a related discipline Strong quantitative and analytical skills, with proficient programming
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Engineering, and an interest in studying the earliest stages of Alzheimer’s disease. The Postdoc will participate in lab meetings, research-in-progress seminars, and presentations at conferences. They will
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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novel proteins/antibodies and explore their biomedical applications. Our goal is to utilize these engineered proteins to precisely regulate intracellular signaling pathways, eventually translating
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Position Summary The Mass Spectrometry Technology Access Center (MTAC) at WashU Medicine, St. Louis, has an opening available for highly motivated applicant for the position of Postdoctoral Research
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Posted on Wed, 02/05/2025 - 10:04 Important Info Deprecated / Faculty Sponsor (Last, First Name): Gu, Xuejun Stanford Departments and Centers: Rad: Radiation Physics Postdoc Appointment Term: 1-year
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis