Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
problem is global in scope, affecting both developed and developing nations, and demands innovative, scalable solutions. This PhD project aims to revolutionize corrosion prediction by integrating physics
-
, few people are trained in its operation. This PhD project will involve training on, and the further development of native mass spectrometry technology. The student will operate within the Advanced Mass
-
elucidate novel interactions within critical signalling pathways and increase our understanding of signal transduction regulation of fundamental cellular processes. Funding notes: This is a PhD studentship
-
Gastrointestinal (GI) motility disorders such as IBS and postoperative ileus affect millions worldwide yet lack high-resolution diagnostics. Current tests are either indirect or use rigid manometry catheters that cannot measure the entire GI tract. Ingestible capsules offer a minimally invasive...
-
the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
-
We invite applications for a fully funded PhD studentship (3.5 years) hosted by the University of Birmingham and conducted in collaboration with Siemens and the UK Met Office. This project is ideal
-
or bacterial species. RNAseq profiling of the fungal transcriptome during interactions with other microbes will be used to identify gene networks important for a coordinated immune response. Confocal
-
Join the School of Physics and Astronomy at the University of Birmingham for groundbreaking PhD research that aims to improve the knowledge of biological macromolecules! The interaction between
-
). There is therefore a pressing need to better understand the dynamics of tropical atmospheric rivers, their links to flooding, and their contribution to precipitation forecast skill and error. In this PhD
-
affect plankton-driven processes and carbon cycling remains fragmented, with few quantitative datasets under realistic ecological conditions. This PhD project will bridge that gap by combining field