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to address longstanding structural problems and inequalities. A substantial body of critical scholarship has highlighted the risks of algorithmic bias, the digital exclusion of individuals who already face
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closely with prof. Roel Leus on advancing the state of the art in decision diagram-based methods for combinatorial optimization, including the development of new theory, algorithms, and high-impact
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that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets/benchmarks, or system designs), or design/adapt AI approaches to solve previously intractable
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and framework technologies, and establishing engineering standards that keep these systems robust, observable, reproducible, and maintainable at scale. Design, write, and evaluate algorithms, software
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cancer cohorts. • Proven ability to develop novel computational and AI-driven methodologies, including Bayesian generative models, phylogenetic inference tools, and algorithms for multimodal data
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases
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circulation of radical content, how algorithms amplify or suppress such content, and how these dynamics can be regulated through policy and governance. The Research Fellow is expected to collaborate with
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. We develop novel optimization methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids
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analysis. They will also work on software that allows the vehicles to navigate and adapt to dynamic underwater environments without human intervention, including algorithms for real-time sensor fusion