Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- King's College London
- ;
- ; City St George’s, University of London
- Imperial College London
- KINGS COLLEGE LONDON
- ; King's College London
- ; Imperial College London
- ; Brunel University London
- ; St George's, University of London
- Brunel University London
- King's College London;
- Kingston University
- Queen Mary University of London
- Royal College of Art
- Royal Holloway, University of London
- Royal Holloway, University of London;
- The Francis Crick Institute;
- The Medicines And Healthcare Products Regulatory Agency;
- Trinity Laban Conservatoire of Music and Dance
- UCL
- University of Greenwich
- University of London
- 12 more »
- « less
-
Field
-
treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
-
the Crick’s clinical PhD programme. About the Fellowships: This fully funded three-year PhD programme offers talented clinicians the opportunity to pursue biomedical discovery research in a world-class research
-
the current thermo-mechanical process use to strengthen the current generation of crush alloys. Programme will use different thermomechanical processing paths including heat treatment and more complex paths
-
development and refinement accordingly. We are looking for a highly organised, driven, and dynamic individual who is a team worker, has a positive outlook, and is adaptable and flexible in their working methods
-
framework will be used with advanced causal inference methods – including inverse probability weighting to construct a valid comparison group. The analysis will use the potential outcomes approach to address
-
an online admissions application, via the admissions portal by midnight (23:59 GMT), 10th November 2025. On the ‘Choosing a programme’ page, please select Wolfson SPaRC Research MPhil/PhD (Full-time). More
-
experience in this clinical field is not essential. We welcome applications from early career researchers with relevant expertise in a wide range of quantitative or qualitative methods (e.g. epidemiology
-
, and dynamic individual who is a team worker, has a positive outlook, and is adaptable and flexible in their working methods. It is also essential that you are highly experienced in setting up continuous
-
academic performance in undergraduate and, where applicable, Master’s coursework Advanced programming skills in R and Python Familiarity with econometric techniques, especially panel data methods Ability
-
computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project