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Field
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Package: Actively participate in a participant-driven co-design process to develop a framework for returning molecular and imaging data to study participants Contribute scientific content to patient
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working within Theme 3 of the Programme: ‘Image-guided Surgery’ and will involve the synthesis and assessment of novel multimodal nanomaterials for healthcare applications and radiolabel for PET imaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
with advanced imaging techniques (confocal and light-sheet microscopy), transcriptomics, and other molecular assays. Minimum Education and Experience Requirements PhD in Cell Biology and Physiology
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longitudinal consistency and data quality, including parameter tracking, protocol versioning, and rigorous QC frameworks Implementing, validating, and extending image-processing and analysis pipelines
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biology in atherosclerosis. The project will combine patient-derived endothelial colony-forming cells with advanced coronary artery imaging from patients at Barts Health NHS Trust to identify individuals
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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of scientific data generation and processing and methods evaluation. Formulate high-quality research ideas and directions in collaboration with mentors in the department. Communicate research progress, challenges
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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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cardiomyocytes and other cardiovascular cell types. Education Requirement: PhD in physiology, pharmacology, biochemistry, physics, or a closely related field. Required Qualifications: Strong laboratory, analytical
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100% postdoctoral position within the Department of Radiology. The primary focus of this research position is to assist in innovative MR image reconstruction and pulse sequence methods. The successful