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Field
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of conducting rigorous research and producing high-quality outputs. Ability to network with industry partners. Expertise in machine learning algorithms, artificial intelligence, game theory, optimization
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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has
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in social media, algorithm design, and interventions to support well-being 40% Leading the system development and implementation of the mobile app 20% Dissemination via articles, conference
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analyses) using data obtained from several sources. The aim is to expand the theoretical framework for predictive asset management in the railway sector including establishment of suitable algorithms and
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aims to develop algorithms for discovering patterns that are robust to data changes. They are expected to co-develop the problem definitions, design reslience measures, co-developing and implementing
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of algorithms and research tools. Applications will be reviewed starting September 1, 2026, and will continue to be considered until the positions are filled. Further information and application instructions
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at King’s on quantum algorithms and numerical methods for many-body dynamics beyond the reach of standard classical simulation. About the role We have a high preference for a candidates who is willing
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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of the ICCVS is the development of personalized vaccine against non-small cell lung cancer (NSCLC). The approach is based on the use of cancer specific T cells that are selected by the special algorithm