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metrics for reducing the environmental impact of AI and cloud computing Empirically evaluate different parts of the AI lifecycle, including development (training), operation (inference) and use Develop
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postdoctoral researcher with a background in politics, law, economics, or related disciplines to work on GEOCLOUD: The Geopolitics of Cloud Computing , a European Research Council Advanced Grant project
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for the analysis of the sequence data, to describe the genetic diversity between French regions for different types of variants (SNV, indels, SV, STR, mictochondrial…). He/she will work in collaboration with our
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variables related to the weather conditions, road surface micro- and macro-texture, tire properties, driving speed, and behaviours of road users. This project aims at studying different data sources such as
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, flexible working arrangements, staff engagement forums, campus facilities and services to support staff from different backgrounds. We are proud to hold Juno Champion and Athena Swan silver awards, which
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generally to develop new distributed edge services. The successful candidate is expected to evaluate metrics such as latency, throughput, availability, and resilience in different applications scenarios
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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help Sony Interactive Entertainment Europe LTD to understand the impact of delay and impairments found in many cloud-based gaming environments. The work will also investigate how to measure different
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, MATLAB) Strong knowledge of intelligent sensing, system integration, and cloud computing Demonstrated ability to produce high-quality research outputs Experience with collaborative research, ideally