Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- UNIVERSITY OF VIENNA
- University of London
- University of Cambridge
- King's College London
- AALTO UNIVERSITY
- University of Liverpool
- DURHAM UNIVERSITY
- Aston University
- University of Glasgow
- Heriot Watt University
- Manchester Metropolitan University
- ; University of Cambridge
- Nature Careers
- Imperial College London
- University of Birmingham
- University of Lincoln
- Cardiff University
- City University London
- Swansea University
- ; CRUK Scotland Institute
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; The University of Edinburgh
- ; University of Copenhagen
- ; University of Dundee
- ; University of Exeter
- ; University of Oxford
- ; Xi'an Jiaotong - Liverpool University
- Birmingham City University
- Lancaster University
- Liverpool John Moores University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nottingham Trent University
- Oxford Brookes University
- Royal College of Art
- University of Bath
- University of Bristol
- University of Hull
- University of Leicester
- University of Manchester
- University of Nottingham
- University of Reading
- University of West London
- 37 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Mathematics
- Economics
- Chemistry
- Science
- Engineering
- Materials Science
- Psychology
- Social Sciences
- Humanities
- Arts and Literature
- Earth Sciences
- Linguistics
- Physics
- Environment
- Law
- Education
- Sports and Recreation
- Business
- Electrical Engineering
- 12 more »
- « less
-
the possibility of extension subject to funding. The UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT) is a 4 year £10M research programme funded by the UK government’s Department for Energy
-
standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
-
standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
-
processes, as appropriate, using a variety of methods and techniques and to provide effective, timely and appropriate feedback to students to support their learning. 4. Supervise individual student projects
-
Investigator). The applicant will make essential contributions to a research programme focussed on gut bacteria that produce a genotoxin, called colibactin The successful candidate will have extensive skills in
-
buildings and their evolving significance. By pioneering a novel theoretical framework and advancing innovative research methods, the project aims to profoundly influence the development of future landmarks
-
of Engineering Science (central Oxford). The post is funded by the EPSRC research funds and is fixed-term for up to one year. The successful applicant will have experience on using sequential decision-making methods
-
-on experience in ceramic/polymeric membrane processing, familiarity with membrane characterization methods, and strong data analysis and communication abilities. Experience with scaling up membrane technologies
-
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 science
-
for NHS ethics and Health Research Authority approvals. You will have experience in mixed methods research, particularly with expertise in qualitative methods and be committed to conducting research