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research experience. Research track record should be demonstrated via prior publications in relevant venues in psychology, cognitive science, education, or human-computer interaction. Knowledge and expertise
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Epidemiology, Causal Inference, and EHR Data Integration Applications are invited for a postdoctoral fellow position in cancer epidemiology to join Dr. Summer Han’s research group in the Stanford Center
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(link is external) ); Monocle 2 and 3 for unsupervised pseudotemporal trajectories inference: Qiu et al., Nature Methods, 2017a/b (https://doi.org/10.1038/nmeth.4150 (link is external) , https://doi.org
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experience in developing models to analyze temporal data. Prior experience in utilizing Bayesian modeling in related applications. Required Application Materials: CV Contact information for reference letters
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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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team Desired Qualifications: Track record of relevant publications Track record of contributing to successful grant applications Experience working with rodent models of neurodegenerative disease and/or
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science, geospatial techniques, and statistical/causal inference Required Application Materials: CV 1-page cover letter describing research background and interests Stanford is an equal opportunity employer
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for biological data analysis • Knowledge of tumor microenvironment and cancer immunotherapy concepts • Track record of peer-reviewed publications in relevant fields • Experience with cloud computing, version
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discipline with strong programming and statistics skills, experience analyzing large datasets (cloud computing/big data workflows preferred), and a track record of completed research projects. Prior experience
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candidates will have a strong track record of research productivity, excellent communication skills, enthusiasm for basic research or technology development and a willingness to work as a leading part of a