109 data "https:" "https:" "https:" "https:" "UNIVERSITY OF LUXEMBOURG" Postdoctoral positions at Cornell University in United States
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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and funding. Salary will be competitive and commensurate with experience, and the position includes Cornell University benefits. The anticipated start date is July 1, 2026. Application Information
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assessment of milk produced under business-as-usual conditions and after implementing each management intervention. There will be requirements to develop data management systems that enable the use
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in the biological sciences and experience in molecular genetic techniques, including high throughput sequencing and data analysis. Strong research background with comparative evolutionary questions
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. The candidate will evaluate plant phenotypes, sample plant tissues, perform DNA extractions and metabarcoding library preparation, and analyze microbiome data. The candidate will also perform quantitative trait
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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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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in analysis of CMS data and will have considerable freedom in
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">https://academicjobsonline.org/ajo/jobs/30767 . Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three references via the website. Applications will
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required. Additional beneficial but optional skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 Applicants should submit
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for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer