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Field
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to the research agenda of the SHIELD project. SHIELD investigates advanced methods for improving the awareness, reliability, and responsiveness of future connected systems operating in complex urban environments
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is typically complicated by the complex nature of food matrices and the frequent need to detect very low numbers of targeted pathogens amongst relatively high numbers of generally benign background
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we seek focus on three overlapping concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe
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live cells to convert carbon dioxide and other feedstock chemicals into bespoke complex chemicals. In a collaborative project, these cells will be interfaced with light harvesting semiconductor systems
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are often tied to their subcellular localization and the biological processes they are involved in. We have extensively characterized how the molecular grammar of prion-like low-complexity domains encode
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under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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complex functions. By equipping immune cells with new generations of synthetic receptors, we develop and evaluate strategies to enhance their ability to recognize, seek out, and eliminate malignant cells
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, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms. Conducts exploratory data analysis to extract meaningful insights from complex datasets
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ability to contribute original ideas to collaborative projects. Strong analytical and problem-solving skills, including the ability to develop rigorous mathematical proofs and perform complex calculations