Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of London
- University of Oxford
- Durham University
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- Nature Careers
- Aston University
- Heriot Watt University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Cambridge
- ; Technical University of Denmark
- ; University of Copenhagen
- Birmingham City University
- DURHAM UNIVERSITY
- King's College London
- Swansea University
- The Royal Veterinary College, University of London;
- University of Birmingham
- University of Liverpool
- University of Manchester
- 11 more »
- « less
-
Field
-
structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
-
. The applicant should be well versed in structured programming, in the maintenance of numerical codes and in the training of new users, such as graduate students. A proven track record of collaborative
-
learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
-
Aalto University is where science and art meet technology and business. We shape a sustainable future by sparking the game changers of tomorrow and by creating novel solutions to major global
-
the interfacial strength, nano-scale 3D structure and residual stresses in advanced power electronic materials (INTERVENE), and is fixed-term of 18 months. Power electronics is a major technology sector for the UK
-
encouraging of collaborative interactions between groups. Role Summary Applicants will have a PhD in Biochemistry, Protein Engineering, Structural Biology or Synthetic Biology, Molecular Plant Pathology
-
the interfacial strength, nano-scale 3D structure and residual stresses in advanced power electronic materials (INTERVENE), and is fixed-term of 18 months. Power electronics is a major technology sector for the UK
-
The College of Engineering and Physical Sciences (EPS) is seeking to appoint a Postdoctoral Research Associate – Digital Twin Training & SME Onboarding on a fixed-term, full-time basis. This is an
-
sensing, signalling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is
-
Engineering and a strong background in experimental magnetism. The position, based within Prof Jason Robinson's research group at the Department of Materials Science & Metallurgy, is part of the project