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extent to which large-scale, reactivated basement structures focused mineralization. The focus is on regional-scale three-dimensional (3D) anisotropic magnetotelluric (MT) imaging of the deep crust and
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for ICT researchers. Technical and project management development supports will be provided through prototype development, project management, and guidance on operationalising systems. Finally, the Hub will
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and talented optics engineer to design, build, and implement novel optical devices for brain-wide imaging and neural circuit manipulation. Key Responsibilities: Develop advanced optical systems
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) Extrapolation of photospheric magnetic fields to the corona using various approaches. 2) Quantitative analysis of HXR (imaging spectroscopy from STIX and HXI) and EUV (fluxes and DEMs) sources. 3) Analysis and
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performing live-cell imaging of C. elegans germline stem cells - Designs and performs experiments to dissect the mechanism(s) regulating mitotic spindle orientation in C. elegans germline stem cells
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structures, algorithms, and debugging tools; familiar with medical image processing (vtk and ITK), medical device communication protocol (OpenIGTLink) and open-source medical imaging computing platform like
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single-element SNSPDs as well as kilopixel-scale imaging arrays which have high efficiency in the 2 – 16 µm wavelength range for applications in single-photon spectroscopy. The imaging arrays will be
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automated liquid handling systems and robotic workflows for running high-throughput experiments and processing large datasets. Desired qualifications Knowledge of various screening strategies (in vitro and in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders
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. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease