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funded by the European Research Council (ERC). The project aims to tackle central challenges in the fields of online algorithms and learning-augmented algorithms. Goals of the project include
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About the Role We are seeking highly motivated Research Associates (up to two) to join our team. The post holder will carry out research on the project Beyond Linear Dynamical Systems, with the objective of discovering computational theories of dynamical systems. The post holder will report to...
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on identifying and discovering patient sub-cohorts within an electronic health record database. This discovery process will take place via the design of deep clustering algorithms based on state-of-the-art
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between randomness and computational hardness in the quantum realm, and to investigate the performance of quantum algorithms beyond their worst case complexity. Directions of interest include average-case
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capable of supporting and collaborating with humans in complex, real-world settings. You will be responsible for researching and developing novel algorithms and techniques to achieve the project’s
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statistics, AI, and computation to generate biological and medical insight. The group focuses on the development of novel algorithms, tools, and databases that are open source and freely available to all users
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preferences into AI system design and evaluation. The post holder will take a leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute
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variables against expert judgement to determine which variables should enter causal estimation as confounders, and evaluate competing causal discovery algorithms across multiple datasets. Third, it will task
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solvers • Implementing and analysing online optimisation algorithms for real-time grid balancing • Liaising with project partners (NESO and University of Strathclyde) Essential selection
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a commensurate technical discipline , you will also Possess sufficient specialist knowledge and interest in statistical machine learning, deep learning, large language models, and algorithmic