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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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or related field. Previous lab experience with large-scale sequencing, PCR, ELISA, and other immunoassays is highly desirable. Strong organizational and communications skills and computer proficiency
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general basic computer skills, excellent communication skills, and able to work as part of team. Some more advanced computational skills (e.g. basic Python programming) are a plus. In addition, the LSRP is
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vision. The vision of the General Surgery Program at Stanford is that we are dedicated to inventing the future of surgical care by: healing through incomparable surgical skills and compassion performing
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to delivering quality and excellence to our constituents every day. In R&DE, “Excellence is defined by aligning our strategic goals and performance with our vision.” Stanford and R&DE are committed to creating
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computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational skills and
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encouraged to apply. Previous experience working with optical imaging and computer vision is a strong plus. The successful candidate will be jointly based in the Department of Urology at the Stanford
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. Demonstrated 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
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and manipulation using OSIRIX on Macintosh. Ability to use image processing softwares such as Matlab, ImageJ, FSL, SPM, ITKsnap. Ability to develop Linux-based scripts, program in Python, use of GitHub
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accredited by the Association for Accreditation and Assessment of Laboratory Animal Care (AAALAC). Our vision is to pioneer in laboratory animal care, driving research innovations from bench to bedside