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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
their use in field or point-of-care settings. This project aims to develop portable, nanopore-based sensors for the rapid and accurate quantification of antibiotic concentrations in environmental and clinical
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at leading international conferences and publish in top-tier journals. The successful candidate will gain advanced expertise in multi-sensor fusion, signal processing, machine learning, and positioning
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handle to control biomolecular chemistry as their behaviour (e.g. binding interactions) can be programmed with electrochemical signals. Establishing electrochemical control over the interactions between
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research group, which leads pioneering work in multi-sensor navigation, signal processing, and system integrity for aerospace, defence, and autonomous systems. The research will deliver a comprehensive
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participation in the only set of telescopes currently able to identify new habitable rocky planets whose atmosphere can then be probed for evidence of biological processes. We use the SPECULOOS network
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project will involve optimizing the trapping conditions—such as laser power, wavelength, and nanostructure geometry—to prevent photodamage while achieving strong signal enhancement. The project will also
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sides of A4, with your application requesting that your application be considered for PhD Studentship funding. Please indicate in this cover letter if your application should be considered
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modulators of P2X7 (facilitating ion channel opening) can engage with the protein and alter downstream cell signalling pathways. We will use a newly developed method from our group called on-cell saturation
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include training in computer science, human-computer interaction, etc. A Master’s degree is desirable. In addition, candidates for whom English is a second language should meet the University’s minimum
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of: An R package for path-space rejection sampling for diffusion processes An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint Bayesian Fusion The position is