116 data-"https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Cornell University
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oversight of pathogen inoculation, disease phenotyping, and data quality across locations and seasons. The Postdoctoral Associate will lead data analysis, synthesis, and interpretation across microbiological
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and at Cornell Tech in New York City. The goal of the program is to support groundbreaking research to develop the foundations of artificial intelligence, machine learning, computer vision, natural
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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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. 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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. 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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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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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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, 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