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System applications, system/segment/payload system architectures and performance, signal-in-space and signal processing, GNSS receivers, algorithms, OD&TS, formation-flying and radio frequency/optical
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, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
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for business processes in Statistical Interference/Analysis/Modeling, Machine learning and Natural Language Processing, Artificial Intelligence, Algorithms, Data Mining and Modeling, and Big Data Query. Design
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results are aggregated into an overlapping generations (OLG) model for longer-term dynamic forecasting and distributional analysis. Models are frequently updated to reflect the latest economics and
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templates inspired by Binder to support packaging, testing, and deployment of visualizations and algorithms in research and/or clinical environments. 15% Collaborates with researchers & students to plan
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Predictive and optimization-based control of smart grids: theory and algorithms School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline
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We are recruiting an Artist in Residence to undertake artistic research with a focus on Distributed Acoustic Sensing (DAS) technology, in the context of the recently awarded UKRI grant ‘SOUNDSCALE
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other constituencies. Develop and maintain supporting documentation of measurement methods and algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit
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optimization (e.g. partitioning, distribution, indexing), and join algorithms (e.g. hash vs nested loop) · Experience in CI/CD automation for a data lake using CDK (Cloud Development Kit) or Terraform Preferred
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Responsive Sensing and Analytics team specialises in developing efficient and scalable algorithms designed to equip emergency services with critical safety information and analytical insights. Leveraging