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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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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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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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, 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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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
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topological dynamics. One of the most important classes of operator algebras are C*-algebras, which are operator-norm closed subalgebras of the bounded linear operators on a complex Hilbert space that
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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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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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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high