Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- King's College London
- UNIVERSITY OF VIENNA
- University of Oxford;
- Durham University
- Heriot Watt University
- Imperial College London
- University of Cambridge
- AALTO UNIVERSITY
- King's College London;
- University of Exeter
- Birmingham City University
- DURHAM UNIVERSITY
- Heriot-Watt University;
- Imperial College London;
- Liverpool School of Tropical Medicine;
- Nature Careers
- Northumbria University;
- Oxford Brookes University;
- Technical University of Denmark
- The University of Edinburgh;
- University of Bath
- University of Bradford;
- University of Cambridge;
- University of Exeter;
- University of Manchester
- University of Nottingham
- University of Nottingham;
- University of West London
- 21 more »
- « less
-
Field
-
member of the ‘Blackholistic’ team (Oxford-Amsterdam-Radboud) which includes relativistic simulations on all scales from black hole to large scale jets, as well as analysis of data from the Event Horizon
-
project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
-
capabilities o Demonstrated experience with machine learning and/or statistical modeling o Expertise in handling large-scale, complex datasets with strong data wrangling skills o Strong publication record
-
data assets, and in the context of the world’s largest longitudinal population studies, many hosted here at the Big Data Institute, as well as other international initiatives. To be considered, you must
-
experience handling large quantities of clinical or non-clinical real-world data, preferably in a data manager role Experience applying statistical and data science techniques to address real-world clinical
-
forefront of AI and ethics. The role focuses on innovative research into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. This is a 2
-
. This will involve analyzing sequence data from bacterial isolates collected during a clinical trial combined and from large scale lab evolution experiments. The postholder will work as part of a large team
-
2 Oct 2025 Job Information Organisation/Company DURHAM UNIVERSITY Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Kingdom Application
-
bioinformatic analyses of large datasets Presenting your work at national and international conferences Working alongside a range of cardiovascular researchers to enhance your professional development
-
surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant