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Bioinformatics, computational analysis is preferable. Excellent communication skills and fluency in spoken and written English. Required Application Materials: Cover letter that describes your research interests
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. Preferred experience in 2P imaging and analysis for cellular migration and GCaMP. Required Application Materials: • CV [including education, research experiences, publications, and previous employment] • A
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-author manuscript with related analysis code and references later during the recruitment process. Stanford is an equal opportunity employer and all qualified applicants will receive consideration without
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electronic phenotyping using electronic health record (EHR) data to support real-world cancer research and population-level cancer outcomes analysis. It also offers a unique opportunity to contribute
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Fellowship in Cancer Screening, Health Policy, and Decision Analysis Applications are invited for a postdoctoral fellow position in cancer research to join Dr. Summer Han’s research group in the Stanford
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expertise in mouse models of glaucoma and optic nerve injury will be considered at this time. Skill required at optic nerve crush and models of increased intraocular pressure and the analysis of retinal
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or expertise with flow cytometry and flow analysis programs are required. Prior exposure to principles of allergic responses is desired but not required. Experience with RNA library preparation, RNA sequencing
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. Required Qualifications: PhD or MD/PhD in a field(s) relevant to functional neuroimaging and neuroimaging data analysis. High-level experience with functional magnetic resonance imaging, spanning resting
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model. Key responsibilities include: Performing animal surgeries, including intracranial tumor implantation Acquisition and analysis of MRI/MRS data Conducting histological validation and tissue analysis
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outstanding resource to apply biomedical statistical tools for data analysis for our groups' ongoing preclinical work and tissue assays. Perform RNA sequencing, including bulk sequencing, single-cell sequencing