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AI technologies that will revolutionize how we understand and respond to human behaviour in both real-time and long-term contexts. You will play a crucial role in the testing and design of novel
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simulation software to study interactions. Applicants must demonstrate a track record in applying such approaches including a relevant Ph.D./DPhil and experience. Applicants must also be confident in using
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to evaluate and stress-test LLM agents in system-level environments. Studying adversarial threats and hijack scenarios. Developing practical safeguards and certification strategies to ensure safe execution
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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, available for up to 30 months, tenable immediately, to conclude before May 31st 2028. Intelligent agents have a venerable history in AI: since the 1980s the problem of how to build hardware and/or software
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will employ a multi-disciplinary approach, including protein/nucleic acid biochemistry, bacterial genetics, and phage biology to test and generate hypotheses. You will develop new ideas and approaches
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of comparative genomics and molecular evolution analyses to identify these targets. The project will make use of software developed in the Kelly group as well as other widely used software for biological sequence
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delivering a wide range of outcomes for the Wellcome-funded international project CYCLONE, including peer-reviewed publications, novel software tools, university seminars, presentations at meetings/workshops
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discoveries on the electrosolvation force. The project will use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories
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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will