The project relates to the chemical optimisation of the resin system, which would enable SMT to drive the resin to its optimum stress capability and at the same time drive productivity by reducing if not eliminating the number of undesired quenches which cost a lot of money. In addition to the direct saving from the enhanced performance of its magnets, the student would characterise the low temperature properties of the epoxy resin and relate these to room temperature parameters for use and enable SMT to be selective in the delivery/receipt of raw materials.

Blocking measures are certain stationary distributions in stochastic interacting particle systems. They either have a relatively easy structure or when this is not the case then they are usually very hard to analyse. Because of these two extreme cases, processes in this kind of stationarity have been less investigated than under other scenarios. There are nevertheless many interesting questions of fluctuations and scaling limits in the area which this project will investigate. We will dive into various phenomena of stochastic particle systems, learning about stationary and quasi-stationary structures, scaling arguments, probabilistic couplings, and martingale techniques along the way.

Wide bandgap semiconductor materials are transforming how new systems can be designed, namely in their efficiency and frequency. These devices require extensive processing, and in this project we will explore at the new upcoming materials of GaO and the more established material of GaN. We will study the impact of processing on the performance of the devices, and also in general how the device can be optimally designed, and the physics of their working. The project will use internal and external device fabrication tools, as well as electrical testing equipment and device simulation tools.

Structural biology provides insights into protein function but generally requires purified complexes, which necessitates removing the protein from its native context. We therefore lose in situ information. Cryo-electron tomography (cryoET) provides this information, but finding a specific protein in a cell is akin to searching for a needle in a haystack 50 m tall. We are at the forefront of developing a technique to solve this problem; by combining super-resolution (SR) light microscopy on samples prepared for cryoET we can locate specific proteins and events within whole mammalian cells. This information can be correlated with 3D cryoET volumes to perform in situ structural biology. We call this technique super-resolution cryo-correlative light and electron microscopy (SRcryoCLEM). Here, I describe how we will enhance SRcryoCLEM and use it to image antibody-activated aspects of human immunity, enabling the development of cutting-edge immunotherapeutics. The first aim of this proposal is to augment SRcryoCLEM with multicolour imaging and automated data analysis. Spectrally-distinct fluorescent proteins will be identified that are ideal for cryoSR imaging, and AI-based volume segmentation and automated particle picking will help to democratise in situ structural biology. The second aim is to deliver in situ structural data to explain discrepancies in antibody effector functions with an unknown structural cause, which will be used to perform structure guided antibody design to further enhance their effector functions for the benefit of human health. The third aim is to discover the structural determinants orchestrating antibody-mediated phagocytosis by macrophages using SRcryoCLEM. This immunologically-pivotal mechanism is poorly understood, but is being exploited as a next-generation therapeutic. Our data will provide crucial insights into the fundamental biological processes underlying macrophage function, allowing therapeutic gain.