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matter, that is, the emergent behavior of living materials that can move independently. We will incorporate multi-body interactions such as cell volume energy terms as hypergraphs and higher-order external
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies
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Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations
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, smart materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving
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Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
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depth. You organise your work efficiently, take initiative, and are able to work independently when needed. You’re open to feedback and eager to learn from it, and you enjoy collaborating within
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motivation to learn, cryo-EM data collection, image processing, and 3D structural analysis. Prior experience with cryo-EM single-particle analysis (SPA) and/or cryo-electron tomography (cryo-ET) is a strong
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of mycobacterial porins Work and profile Mycobacterium tuberculosis is a leading cause of mortality worldwide. A critical factor in its survival and pathogenicity is the ability to acquire nutrients across
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approaches effectively and for fully accounting for their contributions to regional or national climate and biodiversity targets. Technological developments, e.g. in mobile phones, geospatial techniques and
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on urban public space, spatial (b)ordering, regional innovation, transnational migration, mobility, cross-border governance, securitisation, outer space geographies, care, energy, capitalist extraction, and