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grids, such as cascading blackouts, natural disasters and deliberate sabotage, causing large-scale power failures with severe consequences. The rapid growth of distributed energy production and storage
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mechanisms that drive problematic consumption of highly processed foods. Research in the lab spans behavioral experiments, large observational datasets, survey studies, conceptual and theoretical scholarship
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metric benchmarks for OPTIR measurements that can be used for evaluating data and method transferability to widely used IR-based and Raman techniques - Contribute to NIST efforts for evaluating and
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) equipped with a cryogenic stage for surface analysis - Develop computer code (e.g. Python) for the development and analysis of optical cavities Qualifications § PhD degree in Materials, Electrical
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diagnostics through to large‑scale public health programs. The position combines advanced analytical work with research leadership, collaboration across disciplines, and contribution to competitive funding
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health. The post holder will develop innovative AI techniques approaches applied to oral healthcare, with a particular focus on Large Language Model-based multimodal data understanding and reasoning
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team of chemists, physicists, mathematicians, data scientists and machine learning experts characterizing PFAS molecules used in the semiconductor industry with the goal of discovering new molecules
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invariant Natural Killer T (iNKT) cells for precision targeting of AML, an aggressive leukaemia with poor survival outcomes. Building on strong preliminary data, it combines mechanistic and translational
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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to conduct data analyses for large-scale multimodal (genomics, omics etc) studies. Conceptualise new ideas, lead data-driven discoveries, ensuring in-depth assessment and interpretation of results. Conduct