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international team - including Dundee, EMBL-EBI and German Bioimaging - to develop next gen file format strategies and data management for existing large complex multimodal human tissue bioimaging datasets at KCL
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-clinical immunology and vaccine development programmes, focused on outbreak-related pathogens including filoviruses such as Ebolaviruses, arenaviruses such as Junín, and Bunyaviruses such as Crimean–Congo
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(via isolation and interrogation of air-sensitive radical intermediates) and the development of novel modes of "precious metal-like" reactivity using earth-abundant main group elements. More detailed
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-molecule inhibitors. The postholder will use structural, biochemical and microbiological data to inform molecule design, generate and test hypotheses, and develop new synthetic methodologies. Alongside
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Academy of Engineering) and is fixed-term for 5 months. You will join the design by fundamentals team, developing material models to guide fusion reactor design. You will be responsible for performing
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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science, with ambition to apply their own ideas, perspectives, and their personal skillset to the discovery and development of new 3D nanoscale magnetic metamaterials. We’d like you to be part of the team
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part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional
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basic and translational neuroscience and genetics research. Our laboratory focuses on understanding neural circuit development and function, inhibitory neurobiology, cerebellar neural circuits, and
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications