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of human anatomy. Previous hands-on lab research work in the field of musculoskeletal MRI. Experience with MR image interpretation and manipulation. Experience with computer coding and statistical analysis
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to expanding the clinical and translational research efforts related to the fields of cardiology, cardiovascular surgery, critical care, anesthesia, cardiac and aortic imaging, and translational science, as
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to expanding the clinical and translational research efforts related to the fields of cardiology, cardiovascular surgery, critical care, anesthesia, cardiac and aortic imaging, and translational science, as
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engineering and purifying membrane proteins and imaging them using advanced fluorescence microscopy techniques. This is a one year fixed-term position. For more information: https://med.stanford.edu/kobilkalab
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variety of single cell and life imaging techniques, including RNA seq, ATAC seq, live cell imaging, including TIRF, FRAP/FRET. We use methods to analyze neuro-glia stem cell interactions with the brain
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coupled receptors (GPCRs). Duties for this position included engineering and purifying membrane proteins and imaging them using advanced fluorescence microscopy techniques. This is a one year fixed-term
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-resolution deep imaging, in vivo lineage tracing, and pharmacologic manipulation in mice to discover how cell patterns, behaviors, interactions, and functions are altered in pulmonary disease. The LSRP will
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behavioral datasets acquired in precision mental health studies. Especially sought are candidates with expertise in functional imaging data analysis in human subjects studies. The position will be based within
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-scientists, and bioengineers. Specific responsibilities might include but are not limited to collection and processing of intraoperative imaging data, imaging instrument prototyping and problem-solving
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ability to apply theoretical knowledge of science principals to problem solve work. ● Ability to maintain detailed records of experiments and outcomes. ● General computer skills and ability to quickly learn