107 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs at Cornell University in United States
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members and be responsible for contributing to: Manuscripts, reports, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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the slowing Whillans Ice Stream in West Antarctica. The project is funded by the Arete Glacier Foundation and will involve revisiting passive seismic data collected on Whillans Ice Plain in 2012-2016
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at the Large Hadron Collider (LHC). The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful
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. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/ 30767). Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three
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recommenders that may be contacted as a reference after initial screening. Application submissions as well as additional information on pay range can be found: https://academicjobsonline.org/ajo/jobs/30625
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analyzing and preparing data for presentation 10% of the employee’s time will involve the mentoring of undergraduate or graduate students 10% of the employee’s time will involve professional development
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these grants (e.g., videos of hundreds of large groups trying to reach consensus, real-world court data on racial composition of juries and videos of jury selection, databases of real 911 calls
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library preparation, and analyze microbiome data. The candidate will also perform quantitative trait loci (QTL) analysis and is expected to summarize and present results both within the lab and at
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research in genomics, whole-genome and exome sequencing, single-cell RNA, miRNomics, spatial transcriptomics, and mass spectrometry data. The successful candidate will work on two funded projects to identify