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performs MRI research and development of advanced multiparametric methods for the evaluation of primary and metastatic brain tumors. Recent work incorporates machine learning methods to advance
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receptor signaling. Our lab uses a variety of biophysical techniques to characterize protein structure and dynamics in these studies, notably continuous-wave and pulsed EPR methods such as DEER spectroscopy
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longitudinal modeling, machine learning methods, subgroup analysis, or other advanced modeling techniques is highly desirable. Software Proficiency: Experience with neuroimaging tools such as AFNI, SPM, FSL
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thinking, problem solving and attentiveness to detail required. Training and credentialling required includes formal training in biomedical sciences, especially respiratory physiology. Required scientific
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. Software and programming experience may include: R, STATA, Esri Arcmap, python, Leaflet, PostgreSQL, CSS, JavaScript, JQuery, Bootstrap, PHP, QGIS, PostGIS, Mapserver, Tableau, Openlayers, Geoserver, R Shiny
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to 5pm Position Requirements: Specifications Minimum Required Education: PhD in a scientific field or MD Preferred Education: PhD Field
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a plus. Preferred Schedule: Between 7am to 5pm Position Requirements: Specifications Minimum Required Education: PhD in a scientific field or MD Preferred Education
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biophysical methods of GPCR function. Projects will involve protein expression/purification, cryo-EM structure determination, X-ray crystallography, radiolabeling kinetic studies, and possibly using biophysical
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-biology-neurobiology-and-anatomy/people/xuelin-lou-phd ). Postdocs are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results
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for engineered probiotics to improve T1D outcomes. The ideal candidate should have a PhD and expertise in immunology, microbiology, or synthetic biology, with a particular focus on microbial-immune system