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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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testing and related workflows alongside a familiarity with command-line environments, high-performance computing (HPC) environments and pipeline execution on compute clusters (e.g., SLURM) are essential. A
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with variant calling/QC, GWAS, polygenic score or risk model development Knowledge of cloud computing, and high-performance computing (HPC) environments Strong ability to present findings and collaborate
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high performance computing and machine learning. Contract type: Open ended with fixed term until 30/09/26 Work pattern: Full time/35 hours per week Grade: I/Pathway 2 Salary: £38249-£44,128 per annum
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, with a focus on performance, efficiency, and scalability. We own the company's overall strategy for exploring innovative hardware technologies for CPUs, GPUs, memory, storage, and Meta's custom AI chips
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and advanced computing, and the opportunity to work with high performance computing and machine learning. Additional information Contract type: Open ended with fixed term until 30/09/26 This advert will
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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, for model training and validation. Perform visual analysis to visualize agent behaviors, emergent strategies, and system-level outcomes. Contribute to: High-impact publications in top-tier AI conference and
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to apply innovative engagement strategies. Analyze performance metrics using tools like Meta Insights and Google Analytics and prepare monthly reports for leadership. Monitor social media channels and
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. This position is hybrid. Position Responsibilities: Create new marketing content for campaigns including writing and designing Monitor campaign performance and optimize for better conversion results Execute paid