Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- University of Cambridge
- ; Swansea University
- University of Sheffield
- ; University of Birmingham
- University of Newcastle
- ; Newcastle University
- ; University of Exeter
- ; University of Southampton
- ; The University of Edinburgh
- ; University of Nottingham
- The University of Manchester
- ; City St George’s, University of London
- ; Cranfield University
- Harper Adams University
- Imperial College London
- KINGS COLLEGE LONDON
- University of Oxford
- ; Brunel University London
- ; University of Bristol
- ; University of Cambridge
- ; University of Leeds
- ; University of Oxford
- ; University of Plymouth
- ; University of Sheffield
- ; University of Surrey
- ; University of Warwick
- Loughborough University
- The University of Manchester;
- University of Exeter
- ; Coventry University Group
- ; Durham University
- ; King's College London
- ; Loughborough University
- ; St George's, University of London
- ; University of East Anglia
- ; University of Greenwich
- ; University of Huddersfield
- ; University of Sussex
- AALTO UNIVERSITY
- Abertay University
- Brunel University
- Heriot Watt University
- Heriot-Watt University;
- King's College London;
- Kingston University
- Nature Careers
- Newcastle University
- Oxford Brookes University
- The University of Edinburgh
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Bristol
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Nottingham;
- University of Sheffield;
- University of Strathclyde;
- University of Warwick;
- 53 more »
- « less
-
Field
-
increasingly important and pressing due to the rapid growth of offshore renewable energy as a critical part of the UK’s ambitious plan to achieve net-zero greenhouse gas emissions by 2050. These extreme waves
-
., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
-
T3 (Applications) through reliable quantum advantage assessment. Project Description The project addresses the critical need for reliable, scalable verification and benchmarking schemes in quantum
-
computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
-
metabolomic and lipidomic analysis. References/further reading Stockis J, Yip T, Raghunathan S, Garcia C, Lee S, Simpson C, Pinaud S, Schuijs MJ, Araos Henríquez J, Png S, Raddi G, Bricard O, So TY, Mack S
-
, detection, localisation, etc.) Reconfigurable/programmable radio environments and system/network-level antenna design Theory with guarantees (convex/non-convex optimisation, performance analysis, machine
-
. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
-
on health and use economic methods to evaluate relative costs and benefits. This may include use of health impact assessment methods, statistical analysis of secondary data sources to estimate health impacts
-
, data analysis, and scientific writing and communication. Experience in working in an optics lab and programming in Python will be beneficial but is not necessary. Applicants should have, or expect
-
will be secondary data analysis, linking reported incidents of violence with weather data to identify correlations between climate variables (e.g., temperature extremes, humidity) and violent crime