Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- Durham University
- KINGS COLLEGE LONDON
- DURHAM UNIVERSITY
- University of Cambridge
- UNIVERSITY OF VIENNA
- University of London
- AALTO UNIVERSITY
- University of Glasgow
- King's College London
- Aston University
- ; University of Cambridge
- Imperial College London
- Manchester Metropolitan University
- University of Birmingham
- Heriot Watt University
- Nature Careers
- University of Lincoln
- University of Liverpool
- ; University of Oxford
- University of Sheffield
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; The University of Edinburgh
- ; University of Kent
- Birmingham City University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Royal College of Art
- Swansea University
- UNIVERSITY OF SOUTHAMPTON
- University of Bristol
- University of Nottingham
- University of West London
- 24 more »
- « less
-
Field
-
ability to contribute ideas for new research projects and research income generation. Previous research experience in one or more areas relevant to the research programme. For example: probabilistic machine
-
. Importantly, this position offers a unique opportunity to develop an independent research program in a very novel area of biology, focusing on how the kinetochore and the cytoskeleton interact to influence
-
spending risk affects savings. Knowledge of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is
-
to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led
-
anxiety, to work within the established research programme. Substantial hands-on research and professional experience of working with individuals with mental health difficulties, including first-hand
-
of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is also highly valuable. The successful candidate
-
of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
-
team working at the forefront of public service reform, in close collaboration with academic, government, and civil society partners. The successful candidate will contribute to a programme exploring how
-
the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
-
the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake