Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- ;
- University of Oxford
- AALTO UNIVERSITY
- University of Glasgow
- University of Liverpool
- KINGS COLLEGE LONDON
- University of Birmingham
- Birmingham City University
- City University London
- DURHAM UNIVERSITY
- Heriot Watt University
- King's College London
- Manchester Metropolitan University
- University of Cambridge
- University of London
- ; Technical University of Denmark
- Medical Research Council
- Swansea University
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Lincoln
- 12 more »
- « less
-
Field
-
reporting statistical analyses including model development and sharing of open code. - Lead on research publications and outputs, writing first drafts, as well as collaborating with colleagues to support
-
of computer simulation, Large Language Models, or machine learning etc, but a working knowledge of data science research processes from a relevant quantitative discipline, and strong coding skills are essential
-
Fixed Term 3 years Closing date: 23:59 8th June 2025 By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants wishing
-
candidates who do not already have permission to work in the UK should note that by reference to the applicable SOC code for this role, sponsorship will not be possible under the Skilled Worker Route. There is
-
we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a
-
the model, its numerical implementation in a finite element code, and its validation against experimental data in collaboration with experimental collaborators. You will also engage with the hub activities
-
- the English Case Study investigating SSVS pilot project courts. This includes data collection, including court observation and participants interviews, coding and analysis of data, the development of project
-
Equality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct
-
Health, Geography, Global Affairs, or a related field, possess sufficient specialist knowledge in the discipline to work within established research programmes, experience writing computer code in Stata
-
code, and to evaluate their performance on various data sets and applications. To take part in regular meetings, both in-person and online with UK colleagues, and online with US colleagues, and to