116 data-"https:" "https:" "https:" "https:" "https:" "RMIT University" research jobs at Cornell University
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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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. Collect, analyze, and integrate qualitative and/or quantitative data, e.g., through surveys, interviews, focus groups, participatory action methods. Partner with and support the Senior Research Associate
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Cornell University, Center for Data Science for Enterprise and Society Position ID: Cornell-CDSES-MAX26 [#30973, WDR-00055857] Position Title: Position Type: Postdoctoral Position Location: Ithaca
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Postdoctoral Associate: Neurodegeneration – Hu Lab, Weill Institute (Research & Innovation) Postdoc Associate: Neurodegeneration – Hu Lab, Weill Institute Weill Institute The Fenghua Hu lab (https
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. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30939 Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three
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[map ] Subject Areas: Information Science / Artificial Intelligence (AI) , education , Data science Appl Deadline: 2026/02/02 04:59 AM UnitedKingdomTime (posted 2025/12/19 05:00 AM UnitedKingdomTime
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implementation: 50% Literature review: 15% Workshop development: 15% Data analysis and writing: 20% Requirements PhD in natural resources, environmental sciences, environmental policy, ecology, sustainability
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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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, NY, invites applications for a Postdoctoral Associate in Health Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support
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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