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the effects of training volume and intensity on serum biomarkers in female ultrarunners training for the Western States 100 mile race as well as assessing the prevalence of risk factors for REDs in
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: • Previousexperiencewithanalysisofhighthroughputdataandlargedatasetsfromnext generationsequencingplatforms, mass spectrometry, microarrays, etc. • Proficiencyinatleastonedata-analysisorscriptinglanguage(R,Python/Perl,orotherlanguages
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micropipette skills are highly preferred. Previous experience working in a laboratory setting devoted to protein biochemistry and/or mass spectrometry is strongly preferred but not required, as the position
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mass spectrometry-based proteomics, functional genomics, and molecular biology techniques. Applicants with expertise and interest in either (1) mass spectrometry-based proteomics and/or CRISPR-based
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Engineering or related degree. Must possess three years of experience in the following: Designing, developing, testing, and deploying data integrations. API and Web Services (REST/SOAP/Bulk). Data design
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resource to other departments. Field and resolve high volume of inquiries and requests from students, alumni and employers. ● Collect and analyze data and create reports in order to explain hiring and
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for proficiency in bioinformatics and programming to analyze and present results from large genomic datasets including bulk-RNA and DNA sequencing, single-cell sequencing (RNA, ATAC), and whole genome sequencing
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are critical for the development and assessment of new cell-based immunotherapies. The successful candidate will independently perform portion of the research, help develop new protocols for Mass and Flow
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://pathology.stanford.edu/ About the Lab The Angelo Lab employs a method known as Multiplexed Ion Beam Imaging (MIBI) that uses secondary ion mass spectrometry to image antibodies tagged with isotopically pure elemental
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multi-parameter flow cytometry, functional immunology assays, and animal models. Additional useful skills include mass cytometry (CyTOF), single-cell RNA-sequencing, spatial transcriptomics, and