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Supervisors: Dr Darren N. Nesbeth Prof Eli Keshavarz-Moore Abstract: Horizontal gene transfer via conjugative plasmids is a major but underexploited driver of antimicrobial resistance (AMR) spread. These mobile genetic elements autonomously transfer between bacteria, disseminating resistance...
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Your Job: Development of automated workflows (Galaxy, CWL, or Nextflow) for QC (mzQC) and high-throughput analysis (identification, relative & absolute quantification) for lipidomics Implementation of provenance tracking within the workflow to enable reproducible data analysis, export to mzTab-M...
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frameworks are critical to ensuring safe, resilient, and trustworthy navigation in transport and other domains. This project will aim to enhance the performance and robustness of autonomous navigation
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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the robustness of software systems, and in responding to sophisticated cybersecurity threats. Ensuring the robustness and security of AI systems is the next big challenge on the horizon, and we are seeking life
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vulnerabilities like side-channel attacks and unauthorized access, which can compromise system integrity. Developing robust security measures within AI-enabled electronics is essential for applications in defence
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speech, as bridges to enhance cross-lingual transfer between high- and low-resource languages. The project combines resource creation with methodological research and aims to advance inclusive, robust, and
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robustness Building Uncertainty-Aware General Purpose Models Merge developments into a unified, efficient MLFF architecture Train MLFFs on large, diverse datasets across broad chemical space Evaluate models
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the robustness of software systems, and in responding to sophisticated cybersecurity threats. Ensuring the robustness and security of AI systems is the next big challenge on the horizon, and we are seeking life
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the robustness of software systems, and in responding to sophisticated cybersecurity threats. Ensuring the robustness and security of AI systems is the next big challenge on the horizon, and we are seeking life