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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner
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Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common Operational Picture to transform real-time data streams into a suite of
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Principal Investigator, Dr Vikki McCall and to Work Package leads, according to project schedule. The Role The Research Assistant role will be supporting co-production, data collection and management
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of ecosystem-atmosphere fluxes. The role also supports reliable solar power management and data telemetry at field sites, and provides technical training and guidance to graduate student researchers
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-scale single-cell data from primary human tissues, spatial transcriptomic data, and experimental genomic screens. You will join a multidisciplinary team located in the Institute of Developmental
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directly to its key final outputs. Responsibilities will focus on conducting new academic and policy literature reviews and synthesising these findings with existing project data. You will then co-author
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of the selected candidate, departmental budget availability, internal salary equity considerations, and available market information, but not based on a candidate’s sex or any other protected status. Benefits
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The Heinz College of Information Systems and Public Policy is an academic institution unlike any other. Our faculty, graduate students, and researchers operate at the groundbreaking of social and
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Midlands Graduate School Doctoral Training Partnership; | Loughborough, England | United Kingdom | 5 days ago
for teachers. The project builds on Numeralis, an adaptive screening instrument comprising cognitive and mathematics tasks. The project combines secondary data analysis, large-scale pupil screening