The dwarf galaxy Sextans A was observed by James Webb Space Telescope (JWST) in April 2023. It is an extremely metal-poor, gas-rich, star-forming galaxy which star-forming disc will be effectively mapped using NIRSpec and MIRI from 0.9-25.5 microns, allowing for an unprecedented view of star formation in a primitive environment. The observations include the ideal combination of broad- and narrow-band filters that allow for the separation of the young stellar objects (YSOs) and evolved star populations. Collaborators at STScI are currently preparing and calibrating the photometric catalogues. Dr. Joana Oliveira is an expert on star formation in Local Group galaxies and she is leading the analysis of the YSO population in Sextans A. Following from their pioneering work in NGC6822 and M33, Dr. Oliveira and the PhD candidate will deploy supervised machine learning techniques, like a probabilistic random forest, to identify and characterise YSOs down to a few solar masses. The successful candidate will investigate how best the available features (in particular the narrow-band filters that constrain molecular and dust features) should be used to select the young sources. The student's research will identify and quantify the true extent of star forming regions and probe the interplay with the gas and dust in an extreme metal-poor environment. The student will work as part of a team of international experts, with expertise from interstellar medium to evolved young stars, on state-of-the-art datasets, providing a unique training environment. This project is ideally suited for a student with interest in star formation and Big Data techniques.

Diseases and injuries in the brain, spinal cord or associated nervous system cells have some of the most severe implications for patients. Coupled with this, there is a significant cost to healthcare systems in treating these disorders. There are currently no cures, meaning this is a critical clinical goal for research. Research into these diseases is often based on isolated cultures of cells. These cultures are where cells are extracted from the target organ and grown in a lab in a dish. This allows scientists to mimic injury and disease processes in simpler systems than found in the body. Specific injury processes can be easily observed and any positive impact of therapy also measured. Currently, assessment of the models is largely achieved using microscopy and visualisation of cell behaviour. Whilst this is a powerful technique, some cells (for example those found in the brain and spinal cord) carry out their functions by electrical communication. This electrical communication is often disturbed or lost in disease and injuries so careful monitoring of it can provide important information relating to the disease/injury. The funding we are requesting will allow us to grow cells in a dish as normal, but by using a new system - a multielectrode array - we will also be able to measure the electrical communication in the cell cultures. This will be key when studying diseases of electrically active cells and researching whether new therapies can restore the electrical communication required for function.

3D (magento-)hydrodynamic simulations of massive stars.

Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at https://www.ukri.org/apply-for-funding/how-we-fund-studentships/. Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.