The Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health has an opening for a post-doctoral fellow in quantitative neuroimaging. The fellow will work as part of a multidisciplinary team led by Martin Lindquist (Johns Hopkins University) and Tor Wager (Dartmouth College). The fellow should have a background in high performance computing, neuroinformatics, and processing/analysis of neuroimaging data with a particular focus on diffusion MRI. The fellow will work on the Acute to Chronic Pain Signatures (A2CPS) project, a multi-center, large-scale study of the transition from acute to chronic pain. A2CPS is currently collecting longitudinal data from 3,600 surgical patients, including pre- and post-surgery neuroimaging and multi-omics data. The goal is to develop prognostic biomarkers that can forecast whether a person will transition to chronic pain or be resilient. The fellowship involves two broad activities: (1) the creation of robust, reproducible, and scalable pipelines for the analysis of diffusion imaging data; and (2) leading novel analyses of study data, potentially combined with other large-scale datasets including the UK Biobank, and publication of papers.
For more i formation see https://drive.google.com/file/d/1kQnpp1nK34slJ_VWyu1o_LCvih8YzyM6/view
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