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Field
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of training. Excellent organisational skills. Must display clarity of thinking and ability to address a variety of research topics. Ability to communicate complex information clearly. Ability to build
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attention to detail and ability to convey complex information in a clear and user-friendly format (submitted products will be used as the basis of this evaluation). Proven communication and time management
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. You will develop novel tools to visualise biomolecules (lipids, glycans, proteins) in cells to observe the dynamic formation of cell interfaces in epithelia. You will generate complex data based
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we
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Scalable Quantum Devices for the Future Quantum Internet. We seek an outstanding experimental physicist to join the Hybrid Quantum Networks Lab (HQNL ) as part of the UK’s Integrated Quantum
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
, and Precision Health. The project aims to leverage AI and machine learning (ML) to analyze complex metabolomics datasets and address key health challenges, including biomarker discovery, disease
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, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where