Sort by
Refine Your Search
-
these influence immune function and disease. The project combines biochemistry, molecular and cellular biology, and in vivo models to deliver a comprehensive picture of immuno-metabolic function during inflammation
-
our established infection model of patient-derived gastric organoid monolayers to determine the mechanism in which bacteria invade the gastric epithelium barrier. Scanning and Transmission electron
-
Obstructive Pulmonary Disease (COPD). This position offers an exciting opportunity to contribute to impactful applied health research and influence future models of care for people living with COPD. The post
-
Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with
-
related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
-
provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
-
: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes
-
administrative tasks related directly to the delivery of the research Promotes equality and values diversity acting as a role model and fostering an inclusive working culture Assist in writing papers for high
-
model and fostering an inclusive working culture. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer
-
of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology