Sort by
Refine Your Search
-
Listed
-
Employer
- University of Birmingham
- ;
- University of Nottingham
- UNIVERSITY OF SOUTHAMPTON
- ; Technical University of Denmark
- KINGS COLLEGE LONDON
- Nature Careers
- King's College London
- University of Bristol
- University of Manchester
- University of Oxford
- University of Stirling
- ; Imperial College London
- Birmingham City University
- CRANFIELD UNIVERSITY
- City University London
- Manchester Metropolitan University
- Plymouth University
- The University of Southampton
- UNIVERSITY OF MELBOURNE
- University of Cambridge
- University of Leeds
- University of London
- 13 more »
- « less
-
Field
-
Research Fellow post funded through the NIHR DEMCOMM Fellowship Programme. This post supports a motivated qualitative researcher to contribute to dementia-related research, specifically focusing on the care
-
About the role We are looking for an experienced Research Fellow to work on a UKRI-funded Mental Health Research Hub study that aims to improve care and outcomes for people with complex emotions
-
at the University of Birmingham is pleased to offer a Part-Time Research Fellow post funded through the NIHR DEMCOMM Fellowship Programme. This post supports a motivated qualitative researcher to contribute
-
Contract Type: Fixed Term contract up to December 2026 Role Summary TWICEASGOOD, a five-year programme of research (2022-2026) funded by an ERC Advanced Grant, aims to better understand how
-
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
-
the disease, using novel methods for analysing complex high-dimensional genetic, transcriptomic and proteomic data linked to health outcomes from large biobanks and smaller clinical cohorts. The Opportunity: We
-
Job Info Job Identification 629 Job Category Academic and Research Posting Date 06/13/2025, 09:25 AM Apply Before 06/22/2025, 06:59 PM Job Schedule Full time Job Shift Standard Locations Computing
-
to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use resources effectively
-
to understand the genetic and molecular mechanisms of complex inflammatory skin diseases. The applicant will be encouraged to identify and drive a theme within our programme, depending on their expertise
-
their firm level commercialisation outcomes with a focus on Europe. The research conducted by this Fellow will benefit from new computational techniques and data sources and from being in CEENRG, a major