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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
culture. They will also analyze data, draft manuscripts, and present their findings at meetings. Minimum Education and Experience Requirements PhD in Biochemistry, Neuroscience, or related field is required
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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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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
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the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and
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+ 17% superannuation About the opportunity The School of Electrical and Computer Engineering, Faculty of Engineering is seeking a Postdoctoral Research Associate – Antenna Design to contribute to applied
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metal matrix composite (MMC) coatings. You will help fill critical knowledge gaps in process monitoring, optimisation, and control for laser cladding, contributing directly to the development of a cost
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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under-operation, laser-pumped metastable states. POSITION DESCRIPTION The selected candidate will be part of the group of Dr. Valentina Bisogni, focusing on the electronic investigation of novel van der
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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