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cortex. Neurobiology of Learning and Memory https://doi.org/10.1016/j.nlm.2021.107525 Defining the sensory neuron response to nerve injury Supervisors: Dr Greg Weir A PhD position is available in
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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innovation network operating outside the state system, while continuing to perform public research and innovation tasks and to receive state funding within a pre-planned, performance-based, and predictable
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(earthquakes, landslides, and other gravitational instabilities). Develop advanced numerical models for improving the simulation, the analysis, and the prediction of geohazards, as well as the application
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kidney disease in adults: assessment and management. Clinical guideline [CG182]. Tangri N, Stephens LA, Griffith J et al A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure. JAMA
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and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in
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induced by climate change. The successful applicant will utilize advanced timelapse imaging, next-generation sequencing, and predictive modelling to define the immediate molecular consequences of light and
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, and how these molecules interact within cells to form complex functional networks. We are also working towards applications of our knowledge to address important real-world problems. PhD: 3-4 years full
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, Clin Infect Dis 58: 1424–1429. https://doi.org/10.1093/cid/ciu102 Chalghaf B, Chemkhi J, Mayala B et al. (2018). Ecological niche modeling predicting the potential distribution of Leishmania vectors in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
of excellence for outbreak analytics and disease modeling, named Insight Net. This position’s efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and