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with experimental studies. The project will leverage KPN’s expertise to address real‑world constraints—including scalability, interoperability, reliability, and manageability—while developing the telecom
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. The post holder will contribute to the delivery of an exciting research programme to evaluate a walking exercise behaviour change interv ention for people with peripheral arterial disease (MOSAIC2
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neutron stars. However, reliable predictions in regions where experimental data are scarce remain limited by uncertainties in model parameters, functional form, and the extrapolation of calibrated
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complex dynamic system. Minor disruptions can lead to major delays with traffic jams spreading like oil spills over entire networks. We believe traffic management based on reliable predictions is therefore
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will investigate optical quantum repeaters for long-distance secure QKD. You will develop theoretical frameworks to analyse repeater architectures, evaluating both amplifier-enhanced and memory-assisted
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evidence to support the evaluation of AI and machine learning models. This may include investigating data-centric AI strategies, such as data quality assessment, annotation refinement, dataset curation, and
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and elastomers with improved dielectric and mechanical properties. Additionally, their dielectric, optical, mechanical, and electromechanical properties will be evaluated. You will join a strong team at
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Department of Family & Consumer Studies at the University of Utah invites applications for a full-time Research Associate to support the completion of a large-scale evaluation of Utah’s Reemployment Services
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most evaluations to date are task-level, cross-sectional snapshots. They measure one tool at one point in the workflow. Much less is known about how these technologies change work across the whole care
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. You will design and conduct studies in collaboration with primary schools and educational partners, review the scientific literature, recruit and test participants, develop and evaluate educational