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research programs. Required Qualifications: o Highly motivated postdoctoral researcher with: • Experience in relational databases, big data curation and analysis • Expertise in machine learning, including
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Qualifications: Experience in molecular and cell biology techniques, preferably in single cell sorting (FACS), scRNA-seq, spatial transcriptomics and very strong multi-omic data analysis skills related
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microenvironment architecture that drives cancer progression and therapeutic resistance. The successful candidates will perform spatial omics profiling and analysis to infer biological and clinical insights and
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identifying and managing patients with referral-warranted oculoplastic disease. Required Qualifications: - MD or PhD with experience in cell culture, data gathering, data analysis, statistics, and scientific
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: The position requires a motivated and self-directed scientist who is independent, conscientious, with a strong background in reproducible research including statistical analysis, and has excellent written and
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bioinformatics tools for data analysis Required Application Materials: Curriculum Vitae Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race
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biology, and rodent models. Preferred experience in in utero electroporation of mouse embryos, bioinformatic analysis of deep sequencing datasets including ATAC-Seq. Required Application Materials: • CV
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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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the required qualifications are encouraged to apply. Required Qualifications: Doctoral degree (PhD, MD, or equivalent) conferred by start date Demonstrated experience with analysis of large health