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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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Clinical Cohorts Collaborative (PC3) which brings together multiple long-term UK Parkinson’s studies into a single large dataset comprised of control, prodromal and Parkinson’s participants. This post
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UKRI. This post will be situated at KCL, working with and across this large, disseminated UK-wide partnership spanning 10+ universities and other organisations across the country, alongside people with
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the College of Computer & Informatics’ Department of Computer Science seeks a part-time Research Assistant to explore the intersection of Large Language Models (LLMs) and automated planning. The Research
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scientific writing in the fields of ageing, health, and social sciences. The successful candidate will be expected to support the management and data analysis of a large longitudinal study of older adults
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of £37,897 to £45,580 per annum, with potential progression up to £52,067 per annum Apply by: 10/05/2026 Role Description We welcome applications from enthusiastic bioinformaticians or data scientists to join
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dynamic, interdisciplinary research environment focused on large-scale human genomics. The Postdoctoral Associate will contribute to cutting-edge genomic research projects involving next-generation
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this paradigm by quantifying antibiotic action at single-cell resolution. The scientific aim Our laboratory has established a large-scale live-cell imaging platform that tracks hundreds of millions
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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as