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candidate will be part of a diverse team of experimentalists, theoreticians and biostatisticians that studies thalamocortical interactions in different brain models (tree shrew, macaque, human neurotypical
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fault traces visually in the remote images and topographic data and reproduces these traces as hand-drawn lines in a Geographic Information System (GIS) environment. These environments allow fault
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respectively at Oxford and KCL. We seek a person with expertise in Africa’s history of decolonization and/or African audio visual and cultural research and methods. We welcome applications from all career stages
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Diffraction Microscopy (3DXRD), installed at the European Synchrotron Radiation Facility in France and also being implemented at other synchrotrons. We utilize the techniques to visualize the evolution
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, computational musicology and music theory, music cognition, spatial/immersive audio, generative music systems, human-computer interaction, machine improvisation, musical robotics, and/or new interfaces
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emphasis on controlling coherent spin-spin interactions. In addition, the ideal candidate will develop new quantum sensing protocols leveraging coherent spin dynamics in high-field and low
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
and other autoimmune diseases including lupus. The lab is positioned at the interface between immunology, molecular biology and utilizes new high throughput genome wide tools to visualize changes in
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energy supply systems, multi-objective and stochastic optimization, advanced statistical analysis, and data visualization. This position offers the opportunity to work with a multidisciplinary team of
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of molecular sensing circuits Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from data Demonstrates ability to perform
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visualization software (e.g., 3D Slicer, ITK-SNAP). • Familiarity with statistical analysis and scientific writing for peer-reviewed publications. • Prior exposure to NIH-funded or translational research