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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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disease. We are using high-throughput confocal microscopy and proximity labelling and sequencing approaches to characterize molecular regulation in inflammation. The project aims to characterize the role
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for antibiotic prescription. Novel, rapid, point-of-care, precise and easily interpreted diagnostic tools are required to tackle this challenge. Direct sequencing of nucleic acids from patient samples can be rapid
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the drivers behind this public health issue have not been identified. In this project, we will use a dataset of C. difficile genome sequences to generate a nationwide population snapshot of
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technologies used in and connected to grids (e.g., distributed generation, storage, electric vehicles, heat pumps, smart energy management systems, etc.) and how to design grid tariffs that align grid and market
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facilities (e.g., single-cell platforms, sequencing, proteomics and bioimaging) and extensive expertise in functional genomics, single-cell analyses, gene-regulatory mechanisms and cancer biology. This
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. The Center has state of the art equipment within DNA and RNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics, and advanced microscopy. This position offers
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MNPs to microbial communities to cultivate biofilm-coated MNPs (Bio-MNPs). Profile microbial communities and antibiotic resistance genes on Bio-MNPs using metagenomic sequencing and 16S rRNA gene
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research and publication record. Preferred Qualifications: 4 years of experience with solution or solid-state NMR spectroscopy, having a strong theoretical background in pulse sequences for solution-state
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
-supervision by Dr Mark Hardy. The industry aligned EPSRC DigitalMetal CDT offers a four year training programme on integrating data driven with physics-based models of products equipping students with