Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- King's College London
- University of Birmingham
- The University of Southampton
- University of Nottingham
- University of Oxford
- Nature Careers
- CRANFIELD UNIVERSITY
- UNIVERSITY OF MELBOURNE
- University of Cambridge
- QUEENS UNIVERSITY BELFAST
- Sheffield Hallam University
- University of Bristol
- University of Leeds
- University of London
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cardiff University
- City University London
- Cranfield University
- Durham University
- Imperial College London
- Manchester Metropolitan University
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St George's University of London
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- University of Greenwich
- University of Hull
- University of Liverpool
- University of Manchester
- University of Salford
- University of Stirling
- University of Surrey
- 26 more »
- « less
-
Field
-
Working as part of a research team, the successful candidate will develop and design a power converter for EV rapid charging and big renewable hookups. This is an opportunity for the right candidate
-
The Smart Internet Lab is looking for a highly motivated, enthusiastic researcher, with a passion for security assessment in large-scale experimental testbed infrastructure for future telecom
-
supporting a large-scale collaborative research programme between KCL, UCL, Stanford University, and the National Cancer Institute (NIH) through 2025-2030. The post-holder will join early in this new research
-
Research Fellow in Intervention Development to join the Big Data in Health Group About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre
-
of data on invasions, their impacts and their management. The scientist will also analyse data to quantify the costs and benefits of the use of nonnative trees in forestry. They will use these analyses
-
essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential
-
to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
-
-edge research into community participation, while developing skills and experience in new methods and data, within a large multidisciplinary research centre. The post holder will work under the
-
. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
-
opportunities, we anticipate a large number of applications at CSER; due to the limited amount of workspace available, we can only forward a small selection of these to the British Academy. Applications should be