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omics data analysis. ●General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed. ● Demonstrated ability to apply theoretical knowledge of science
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merits have been published in the premier science and technical journals. The group is well funded by NIH and industry partners. For more information, please visit http://med.stanford.edu/Gulab (link is
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is $76,383. Are you looking for a challenging and rewarding postdoctoral fellowship in pain science, substance use disorders (SUD), or data science? Join the next generation of pain and SUD
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are looking for a postdoctoral researcher to contribute to cutting-edge research at the intersection of language models, data, and reasoning. The postdoc will be part of Stanford Language, Data, and Reasoning
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information here: https://cibsr.stanford.edu/training-careers/fellowship.html (link is external) Should you or anyone you know have questions or require further information, please contact Lucia Gutierrez
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external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation
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monitoring, ecological momentary assessment, mHealth, social media, and telemedicine) Data science for preventive medicine using biobanks, electronic health records, AI, and multi-omics Research methodology
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: Familiarity with (NGS related) software tools and packages such as bwa, STAR, bedtools, samtools, Picard, RSEM, GISTIC, GATK, Strelka, Seurat Prior experience in analyzing spatial transcriptomic data. Prior
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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care providers in identifying and managing patients with referral-warranted oculoplastic disease. Required Qualifications: - MD or PhD with experience in cell culture, data gathering, data analysis