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Field
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for
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. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 10/01/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 2 months ago
-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and institute host an international team of researchers from more than 15 countries
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unique angle to discover new biological/cellular processes in development and disease. Combining sophisticated genome engineering and innovative live cell imaging, we have pioneered in vivo studies
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Location of Position (City) Rapid City Posting Text The Nanoscience & Biomedical Engineering Department at South Dakota School of Mines & Technology invites applications for a Postdoctoral Researcher
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
across North Carolina and beyond. Education: We prepare tomorrow`s healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated
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applications involving image analysis, real-time monitoring, or complex process optimization. You have hands-on experience with model optimization techniques such as post-training quantization (PTQ