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Field
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training will include in-depth engagement in molecular biology, protein biochemistry and molecular genetic/protein design, single-cell imaging and fluorescence microscopy, and single-cell recording
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-throughput automation in synthetic biology and chemistry, characterization, computation, and data collection, analysis, and mining. BioPACIFIC MIP is seeking a motivated individual to grow a world-class
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grant proposals/studies as needed. Qualifications Education Requirements: PhD degree in Computer Science, MD degree, or related field. Experience and Skills: Experience in image or signal processing
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engineering of pigs, integration with medical imaging and expertise in pig breeding and husbandry, veterinary care, and research procedures. A competitive salary and benefit package is provided, including
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, the techniques and supervisors mentioned below are those with whom Dr Riehle collaborates. Techniques: Primary cell culture, molecular biology, imaging, image analysis, then depending on the specific project
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, inherited retinal diseases, and health services research. Proficiency in data science with machine learning, deep learning, and AI applications in healthcare or ocular imaging is highly desirable. Department
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: The Project Scientist Series make significant and creative contributions to a research or creative project related to Surgery. They carry out research or creative programs with supervision by a member of the
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about the position here . Qualification requirements Doctoral degree or equivalent qualifications in biostatistics, statistics, machine learning, mathematics, data science, computer science or other
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of Engineering, Nelson Institute of Environmental Studies, and School of Computer Data & Information Sciences. The campus embraces a culture of collaboration, collegiality and inclusion, and the exceptionally high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
beginning on or after July 1, 2025. We have a strong presence in key areas such as machine learning, natural language processing, computer vision, graphics, augmented and virtual reality, medical imaging