866 web-programmer-developer-university-of-liverpool Fellowship research jobs in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Nottingham
- University of Birmingham
- University of Oxford
- UNIVERSITY OF SOUTHAMPTON
- University of London
- University of Cambridge
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Leeds
- KINGS COLLEGE LONDON
- The University of Southampton
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- Imperial College London
- King's College London
- Queen's University Belfast
- CRANFIELD UNIVERSITY
- QUEENS UNIVERSITY BELFAST
- University of Manchester
- University of Surrey
- Cardiff University
- University of Bristol
- University of Glasgow
- University of Sheffield
- ; Technical University of Denmark
- St George's University of London
- City University London
- University College London
- ; University of Exeter
- Brunel University
- Cranfield University
- Nottingham Trent University
- University of Newcastle
- Aston University
- Durham University
- Manchester Metropolitan University
- Sheffield Hallam University
- Swansea University
- University of Brighton
- University of Exeter
- University of Greenwich
- University of Hull
- University of Leicester
- University of Liverpool
- University of the West of England
- ; Maastricht University
- ; Queen Mary University of London
- ; UCL
- ; University of Aberdeen
- ; University of Copenhagen
- ; University of Glasgow
- ; University of Nottingham
- ; University of Oxford
- ; University of Sussex
- ; University of Warwick
- AALTO UNIVERSITY
- Birmingham City University
- CZECH UNIVERSITY OF LIFE SCIENCES
- DURHAM UNIVERSITY
- Kingston University
- Lancaster University
- Loughborough University
- Nuffield College
- Oxford Brookes University
- Plymouth University
- UNIVERSITY OF GREENWICH
- University of Lincoln
- University of Stirling
- University of Westminster
- University of Worcester
- 61 more »
- « less
-
Field
- Medical Sciences
- Computer Science
- Economics
- Biology
- Engineering
- Science
- Humanities
- Mathematics
- Chemistry
- Materials Science
- Psychology
- Business
- Earth Sciences
- Environment
- Law
- Arts and Literature
- Social Sciences
- Electrical Engineering
- Philosophy
- Physics
- Linguistics
- Education
- Sports and Recreation
- 13 more »
- « less
-
develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required. The successful applicant
-
research-related activities and research-related administration Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often
-
funding Develop and make contributions to knowledge transfer, enterprise, business engagement, or similar activities at Department/School level or further within the University Main Duties
-
to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis
-
Group. The post holder will sustain and pursue a research plan in the area of Power Electronics and Electric Drives. Where appropriate, they will develop and win support for innovative research
-
/or public engagement activities of manifest benefit to the College and the University, under supervision of a project leader Apply knowledge in a way which develops new intellectual understanding
-
and deadlines. Contribute to writing bids for research funding. Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University
-
/or public engagement activities of manifest benefit to the College and the University, under supervision of a project leader Apply knowledge in a way which develops new intellectual understanding
-
against different interfering systems. Develop, with colleagues, a spectrum sharing database for use by the JOINER community and design and develop models using AI/ML and other techniques to ensure
-
investigates how the unique capabilities of quantum computing can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand