117 data "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at University of Oxford
Sort by
Refine Your Search
-
We are seeking a Senior Researcher to join the Ideker Laboratory at the Big Data Institute (BDI) and the Nuffield Department of Population Health at the University of Oxford. The successful
-
electrochemical experiments (in inert atmospheres) and rheology, particularly with Li-ion battery materials, is desirable. You will gather and publish high-quality data, exhibit leadership within the group, present
-
studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s
-
of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell data
-
at the intersection of artificial intelligence, multi-omics integration, and cellular systems modelling. Based at the Big Data Institute (BDI) at the University of Oxford, the successful candidate will join the Ideker
-
), this project aims to characterise the spatial changes in cell and tissue mechanics, as well as gene and protein expression, that occur in lung fibrosis, using spatial multi-omics and mechanical data collected
-
ability to write clean, well-documented analysis code. Ability to work with EEG data and apply multivariate methods to extract meaningful measures relevant to memory and consolidation. Skilled in developing
-
member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
-
The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
-
role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian