Mass spectrometry (MS) is a powerful analytical technique that is widely used to identify compounds from a vast array of materials and to study biological molecules and relate them to function. Frequently we compare samples to understand the differences between normal and diseased or treated conditions, for example healthy tissue compared with tissue infected with a naturally occurring pathogen, for example bacteria or a virus. Understanding the molecular responses to infection are key to implementing treatments. To carry out MS experiments, samples such as bacteria or cells are normally broken down as a whole and compounds extracted for analysis. Whilst extremely sensitive at identifying the molecules present, this method loses the spatial location of the compounds; they may be distributed differently in different areas. Mass spectrometry imaging (MSI) is a technique that allows characterisation of biological molecules across surfaces. A laser is fired at a very small area on the surface of a sample to generate charged molecules (called ions) from that position, and these are analysed by the mass spectrometer. The sample is moved very slightly, and the laser fired again. In this way we can detected analytes across the surface and build up an image-map. This will allow us to relate the position of biological molecules to function and will be a great improvement on the equipment already available to us. We propose to use this equipment undertake projects aligned with MRC research portfolio and priorities in themes such as antimicrobial resistance, immunity and infection through the life course, and neurodegeneration supporting existing MRC projects and planned MRC submissions. The project will also support the development of research technical professionals.

MIBTP students undertake a period of training during their first year. This includes compulsory taught modules in statistics, programming, data analysis, AI and mini research projects.

This research centers on developing a refined construction for modeling partner selection, which aligns with the broader objective of understanding cooperation dynamics in complex systems Student registered on the MSc year of the 1+3 in Mathematics of Systems Core modules taken: MA930-15 Data Analysis and Machine Learning MA931-50 Individual Research Project MA932-40 Group Research Project MA933-15 Stochastic Modelling and Random Processes MA934-15 Numerical Algorithms and Optimisation MA999-15 Topics in Mathematical Modelling

Recent theoretical advances have uncovered significant and consistent disagreements between the SM predictions and experimental determinations of the rates of some of flavour physics' most important decay modes --- hadronic, tree-level b-meson decays. The two ``golden" modes, with the most precise theoretical determinations show a disagreement between theoretical and experimental determinations of 4.6 and 7 standard deviations. These decay modes, previously considered as clean SM benchmark decays, are used extensively to quantify matter-antimatter asymmetry producing mechanisms in the SM, however, an increasingly credible explanation for this b-decay rate anomaly is the existence of BSM physics in these decays. The LHCb Upgrade I experiment is now realising a new era in precision BSM searches. This project will use the LHCb Upgrade I dataset to investigate the b-decay rate anomaly in the search for BSM physics.

This project will integrate a terahertz (THz) imaging probe with a robotic arm. This will overcome issues with user variation and enable repeatable and reliable THz in vivo imaging of skin.