91 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Cornell University
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experience with species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify
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and present our work at top-tier ACM computer science venues in Human Computer Interaction (HCI) and Wearable Computing. Example projects and publications from our group: Intro to the Hybrid Body Lab
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"Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data
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: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/29926 ), Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three references
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staff. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30026 ). Qualified candidates should submit a short cover letter, curriculum vitae, contact information
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on the CMS experiment at the CERN LHC . The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and high luminosity detector upgrades (HL
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existing national datasets (including remotely sensed data) and will conduct a mixed-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying
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economics, data science or closely related field, with strong quantitative skills and demonstrated experience in applied econometric analysis, large-scale data integration, and global or regional economic
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, computer science, or a closely related field by the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural