Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- King's College London
- University of Cambridge
- University of London
- Durham University
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Liverpool
- University of Birmingham
- Nature Careers
- ; University of Copenhagen
- Imperial College London
- Medical Research Council
- Swansea University
- University of Manchester
- University of Oxford;
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Dundee
- Aston University
- Birmingham City University
- Heriot-Watt University;
- King's College London;
- Manchester Metropolitan University
- Nanyang Technological University
- Queen Mary University of London
- Royal College of Art
- Sheffield Hallam University
- The Royal Veterinary College, University of London;
- University of Cambridge;
- University of Glasgow
- University of Hull
- University of Leicester
- University of Lincoln
- University of Newcastle
- University of Reading
- University of West London
- 32 more »
- « less
-
Field
-
, BRCA2, and PALB2. Through advanced single cell genomics, in vivo modelling, and immune profiling, the team will study early molecular and cellular changes that occur in high-risk breast tissue. The team
-
A position exists for a Postdoctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics modelling the decontamination of porous and absorbent material. This project
-
The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on digital twin modelling for marine engines and propulsion systems
-
structural development over time at the group, sub-group, and individual level (e.g., using normative modelling and clustering approaches to parse heterogeneity). The candidates will further have the
-
, to support the development of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to contribute to the development, optimisation and implementation
-
migration and in vivo murine models of inflammation and technical expertise in complex flow cytometry is essential. The previous ability to work with rodents would be advantageous, whilst experience in
-
split 0.5FTE on the UKRI Medical Research Council funded project STARS: Sharing Tools and Artefacts for Reproducible Simulations in healthcare ; and 0.5FTE on the Health Service Modelling Associates (HSMA
-
level of detail extracted from these experiments. As part of this role, you will work closely with other researchers to translate these experimental results into our numerical models, helping to improve
-
researchers to translate these experimental results into our numerical models, helping to improve their predictive capability. You will help ensure a healthy and vibrant research environment within the Impact
-
of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to contribute to the development, optimisation and implementation of an automated workflow