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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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of protocols and architectures for practical quantum networks. Carry out experimental characterization and performance analysis of components and links for quantum communications. Develop and validate
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and performance improvement activities related to the stroke patient population. Under the leadership of the Network Stroke System of Care Manager and in collaboration with the Stroke Medical Director
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the modelling, simulation and analysis of the large, complex and dynamic systems (e.g. cyber and physical systems). The PhD student will join the Sheffield Control and Power Systems (CAPS) Laboratory (https
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Title (if different from Position Title) Job Summary The student will perform data collection and data analysis to investigate the performance of large scale RFID deployments. Why should YOU consider
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security roadmaps, models, standards, and procedures for cloud and on-premise environments; and Define baseline configurations and secure design patterns for systems and networks. Security Risk Management
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• Computational skills for multi-omic data analysis (R, Python) is a plus. Department Contact for Questions Dr. Asmaa El-Kenawi Email: asmaa.elkenawi@cancerimmunometabolism.com Website: https
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: Analysis and interpretation of high-resolution single-cell RNA-seq and scATAC-seq data to elucidate cellular processes Processing and integration of spatial transcriptomics data to reveal molecular patterns
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development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs SUPPORT
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here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a highly motivated researcher with strong quantitative skills, passion for global health and a desire to shape health