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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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— influencing optimal approaches, promoting recognised models, and driving continuous improvement. About you! To be successful in this role you will have; Extensive experience delivering high-quality Salesforce
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Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve
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to new logics. [1] Rajeev Gore: Tableaux Methods for Modal and Temporal Logics. Handbook of Tableau Methods, Kluwer, 1999. [2] Rajeev Gore, Florian Widmann: Optimal and Cut-Free Tableaux for Propositional
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my secondary schooling to assist in income, my study was abrupt and I felt like I could not achieve my optimal potential. The receipt of this scholarship has majorly benefited me in allowing and
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determining the appropriate design pattern for a specific scenario, identifying relevant quality attributes for a particular design choice, and recognizing the optimal timing for implementing a refactoring
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at primary care and offer optimal use of scarce health system resources. The model will be trained using skin images (clinical and/or dermoscopic) to identify disease relevant features and accurately diagnosis
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issues in Mobile Apps) that have the largest impact on end-users and humanity. Finally, this project will leverage a multi-objective optimisation approach to find a set of optimal QA prioritisation
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intelligence techniques (e.g., Deep Learning, Statistics, ML, Optimization) in order to (1) understand the nature of critical software defects like vulnerabilities; (2) predict; (3) highlight vulnerable code; (4
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optimal individual choices. We use this framework to study: Multi-agent Systems and AI, Social Systems, and Models in Biology and Evolution. Please check our publications for more details: http