Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Oxford
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- University of London
- Durham University
- Nature Careers
- Aston University
- Heriot Watt University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- ; University of Copenhagen
- Birmingham City University
- Newcastle University
- Northumbria University;
- Oxford Brookes University
- Oxford Brookes University;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- Technical University of Denmark
- The Royal Veterinary College, University of London;
- University of Birmingham
- University of Cambridge
- University of Manchester
- University of Newcastle
- University of Reading
- 15 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
-
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 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
-
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
-
healthcare technology. The post-holder will be proactive, capable of balancing multiple demands, and able to provide informed recommendations to project leads. Their responsibilities will include engaging and
-
. The primary focus is to engage parents, teachers, and young people in the implementation and evaluation of a new digital mental healthcare technology. The post-holder will be proactive, capable of balancing
-
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
-
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
-
. 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
-
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