Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. 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
-
analytical techniques, opportunities to supervise students, and involvement in manuscript preparation and future grant applications. It is essential that you hold (or are close to completion) a PhD in cell
-
to meet deadlines and building effective relationships with internal and external partners. You will collect, analyse and interpret quantitative and qualitative project data, generating insights to support
-
– 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