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chemistries to optimize connective tissue repair and regeneration. The position starts as early as Summer 2023. Minimum Qualifications: Ph.D. in biomedical engineering, chemical engineering, chemistry, or
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Posted on Thu, 07/16/2026 - 19:23 Important Info Faculty Sponsor First name: Mark Faculty Sponsor Last Name: Musen Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR
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possess strong communication and organizational skills. Qualifications a..Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is
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. degree from an accredited university in biomedical engineering, electrical engineering, neuroscience with interest in imaging sciences or related field. The successful candidate will be self-driven
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
prepare tomorrow’s health care professionals and biomedical researchers by facilitating learning within innovative curricula and team-oriented interprofessional education. We will cultivate outstanding
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data
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PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm, magnetic resonance
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University Munich in the Department of Physics. The position is part of the Focus Group Molecular and Interfacial Engineering of Organic Nanosystems at the Institute for Advanced Study (IAS) headed by Prof
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. Qualifications a. Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining
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a Ph.D. from an accredited college or university in neurosciences, psychology, biomedical engineering, or other related fields. Ideal candidates will have one to three (1-3) years of relevant