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significantly enhance their capacity for self-management, leading to more reliable, efficient, and trustworthy systems in safety-critical and complex domains. On-the job research training for the Doctoral
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industrial SBSP experts, the candidate will explore the nonlinear structural dynamics of LSSs to fully understand the complexity of their control. They will use this foundation to explore idealised and
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prevalent noncommunicable disease globally. The confined and complex architecture of the oral cavity, particularly in regions such as dentinal tubules and root canals, makes effective antimicrobial treatment
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
the environment and the lack of routine monitoring tools. Current methods for measuring antibiotic concentrations, such as HPLC and mass spectrometry, are expensive and require complex instrumentation, limiting
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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, public confidence, and safe deployment on public roads. There is a pressing need for interpretable, verifiable methods that bridge the gap between complex autonomous behaviour and established safety and
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carbon fibre reinforcement. This is a complex thermos-chemical-flow process which is difficult to model and to monitor which has a major impact on production time and product quality. We have developed
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of Computer Science and Technology at the University of Cambridge, UK. This position is part of a broader effort to advance fundamental research in classical and quantum complexity theory. The successful candidate will
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an increasingly complex development environment. Areas to consider that impact the modelling are: Framework Language Process How wide / how deep i.e. what do we model and why? How much provides a good answer i.e
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provide large and complex datasets. By applying advanced pattern recognition and clustering algorithms, the aim is to automatically detect coherent spatial domains. These domains represent regions with