Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- King's College London
- The University of Southampton
- University of Birmingham
- Nature Careers
- University of Cambridge
- CRANFIELD UNIVERSITY
- University of Nottingham
- UNIVERSITY OF MELBOURNE
- Cranfield University
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF SURREY
- University of Leeds
- University of Surrey
- ; Xi'an Jiaotong - Liverpool University
- City University London
- Durham University
- Imperial College London
- Manchester Metropolitan University
- RMIT UNIVERSITY
- St George's University of London
- UNIVERSITY OF GREENWICH
- University of Greenwich
- University of Hull
- University of Liverpool
- University of London
- University of Stirling
- 19 more »
- « less
-
Field
-
clinical trial portfolio for a research programme in antimicrobial resistance and work to support colleagues in data-enabled trials. You will also undertake statistical methods research associated with
-
post is fully funded for 3 years and provides an opportunity to obtain a PhD. The project will enable the candidate to develop unique skills in complex linked data handling, geospatial analysis and
-
WMG collaboration with a large vehicle manufacturer. About You You will need a good honours degree and a PhD (or be close to submission thereof) in a relevant subject, and experience of the theory and
-
Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
-
work on a translational project and generate preliminary data for a PhD. Examples of programmes on-going include using peripheral immune cells to predict immunotherapy response in biliary tract and liver
-
/2025 Role Description An exciting opportunity for an established researcher or a recently completed PhD researcher with experience in malacology, epidemiology, data mapping and/or schistosomiasis
-
assessments in these studies involved large, high quality, multi-informant and multi-method assessment batteries including diagnostic interviews, direct observation tasks, health economics data and a large
-
PhD in an appropriate discipline such as Earth observation, data science or computer science Knowledge, Skills & Experience Sufficient breadth or depth of specialist knowledge, in the application
-
to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
-
researcher with a PhD in Soil Science or Agricultural Science, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in an international, multidisciplinary