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Field
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, the prospective student will gain skills and experience in biocides, membrane biophysics, neutron scattering and data analysis and modelling and antimicrobial assays underpinning biomaterials research, with a focus
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PhD Studentship: Decoding Campylobacter pathogenesis in chickens: From colonisation to contamination
Start date 1 October 2026 Additional Funding Information This project is awarded with a 4-year Norwich Research Park Biosciences Doctoral Training Partnership PhD CASE studentship with Inspiralis Limited
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scanning confocal microscopy and calcium imaging in time-lapse, computational imaging approaches for analysis of images and movie recordings, analysis of the connectome to identify neural circuits
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Health, Research Methods) and intent to pursue a co-designed mixed methods PhD on racism in the healthcare. Experience of conducting quantitative analysis with strong motivation to develop further through
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Rising temperatures are intensifying climate-related risks in cities worldwide, with the greatest impacts often felt by marginalised communities. This PhD project investigates how nature-based
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mucosa. Objectives include: 1. Training generative models to produce realistic, high-resolution microscopy images. 2. Ensuring no synthetic image is identical to real patient data. 3. Evaluating image
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spectroscopic methods suitable for large-scale sample screening and eventual field deployment. The project will also involve developing your skills in data science, including multivariate analysis, machine
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physics through to applications, and the student will develop skills in electromagnetic simulation, nanofabrication within a state-of-the-art cleanroom, experimental optical systems and data analysis
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(mammalian cell culture, lentiviral transduction, flow cytometry and FACS, Illumina sequencing and bioinformatic data analysis. You should have (or be close to completion of) a PhD in molecular/cell biology
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from