Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental
-
development of a computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. You will be
-
widening participation schemes to enable junior researchers to gain experience in the lab. The candidate will have: A qualification at QCF level 6 (such as a bachelor’s degree) in a relevant biological science
-
in combination with X-ray crystallography, enzyme kinetics and computational chemistry to investigate how enzymes utilise changes in conformational entropy to control the relative stability
-
of progress. We helped usher in the computer age in 1948 with the world’s first stored-program computer “The Baby” and Alan Turing helped shape what would become the foundations of AI right here on campus. Home
-
engage and influence stakeholders across diverse disciplines. Not essential but desirable: Higher degree in AI, computer science, or related field (or equivalent experience). Familiarity with higher
-
materials • AI, data and advanced computing We seek to employ an Application Scientist with expertise in the materials science of one of the following: sustainable polymers, nanomaterials, data analytics
-
child health. The successful candidate will contribute to the development of advanced mathematical and computational models to analyse high-dimensional multi-omic datasets, including genomics
-
leveraging advances in Earth Observation (EO) and data science techniques to develop EO mapping tools and capacity that empower governments, financing and development actors with information to target, monitor
-
transcriptomic organisation, using high-resolution single-cell and spatial transcriptomic data. The successful candidate will develop computational frameworks to integrate and analyse multi-modal datasets