Sort by
Refine Your Search
-
to become fully operational by 2026. The successful candidate will hold a relevant PhD/DPhil as well as a good degree in the curriculum subject, or the equivalent and UK qualified teacher status. They will
-
. You will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate. Adapt existing and develop new scientific analytical pipelines
-
diseases of the central nervous system, with an emphasis on patients with multiple sclerosis (MS). Using innovative laboratory and analytical techniques, this research aims to expose new disease-associated
-
will also be part of the Data Analytics and Epidemiology (DAE) group (PSI) with opportunities for collaboration and career development. The position is suitable for a highly motivated computational
-
to project coordination, help develop new research ideas and funding proposals, and maintain high standards of data management and reproducibility. It is essential that you hold a PhD/DPhil (or are close to
-
– Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced microbiology and immunology, and AI-driven analytics to accelerate vaccine
-
from controlled human infection and clinical research studies, and the development of analytical assays, including those supporting bacterial antigen identification for vaccine development. Working
-
analytics to understand how high-consequence viruses emerge and spread. The team focuses on pathogens such as Ebola virus, Marburg virus, and SARS-CoV-2, bringing together molecular data, ecological
-
, cultural, and sports clubs. About the Role This opportunity would be particularly suited to PhD/DPhil students who have some experience of running research projects, including consultation exercises, and are
-
are not limited to: Data-centric AI and ML Large-scale data analytics and intelligent data systems Responsible and trustworthy AI Applied machine learning and multimodal AI Data engineering, MLOps, and