552 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Medical Sciences
- Economics
- Computer Science
- Biology
- Business
- Psychology
- Engineering
- Materials Science
- Chemistry
- Mathematics
- Science
- Humanities
- Education
- Earth Sciences
- Linguistics
- Social Sciences
- Environment
- Law
- Philosophy
- Arts and Literature
- Electrical Engineering
- Physics
- Sports and Recreation
- 13 more »
- « less
-
-assembly, molecular binding, and catalysis. The project aims to overcome current data and methodological limitations to enable predictive modelling of complex supramolecular systems. This post is fixed term
-
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
-
excellence and operational effectiveness across the department. This includes driving efficient end-to-end recruitment and onboarding, safeguarding compliance and data integrity, and providing managers with
-
) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 10th April 2026 can be considered. You will be required
-
We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in
-
relevant PhD/DPhil or be near completion, together with relevant experience in the field. Informal enquiries may be addressed to Prof Natalia Ares (email: natalia.ares@eng.ox.ac.uk) For more information
-
to determine whether the Hubble tension arises from observational issues or from limitations in the current cosmological model by combining lensing information and dynamics of the lens to measure H0
-
during field trials; working with on-site teams to oversee robotic platforms from both a technical and health and safety standpoint. For more information about the ORI, please see: ori.ox.ac.uk Informal
-
if technical problems arise. Contribute to wider project planning, including contributing ideas for subsequent experiments to test new project hypotheses. Gather, analyse, and present scientific data from a
-
, Reliability and Teamwork Research Unit. Specifically, they will be working to supervise data collection, cleaning and analysis and helping in the writing up and publication of the results. This will involve