Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; The University of Manchester
- Cranfield University
- ; University of Nottingham
- University of Cambridge
- ; University of Warwick
- ; Swansea University
- ; University of Surrey
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Newcastle
- ; University of Exeter
- ; University of Oxford
- ; University of Reading
- ; University of Sussex
- University of Sheffield
- ; Aston University
- ; University of Birmingham
- ; University of Cambridge
- Imperial College London
- ; Brunel University London
- ; City St George’s, University of London
- ; Cranfield University
- ; King's College London
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; St George's, University of London
- ; Technical University of Denmark
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Leeds
- ; University of Sheffield
- Brunel University
- Durham University
- Harper Adams University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Newcastle University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Liverpool
- University of Oxford
- 36 more »
- « less
-
Field
-
-centred operation (NCO) information, including positions, threats and airborne warning and control systems (AWACS). Streamlined and effective decision making in complex scenarios. Natural interaction and
-
The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
-
detailed characterisation of the chemical processes controlling oxidation capacity in the tropical troposphere. The data collected will directly support international efforts to reduce uncertainties in
-
, randomised controlled feasibility trial to examine the feasibility and acceptability of the programme, collecting both quantitative and qualitative outcome measures. For informal enquires please contact: Dr
-
sovereignty and empower individuals by allowing them to take back control over their data. However, the process of implementing data governance in a decentralised setting, especially when AI is involved, brings
-
occurs. Insights from this research could greatly advance our understanding of AQP biogenesis and ER quality control. By identifying factors that promote proper folding and conditions that cause misfolding
-
engines. The variable rotation speeds, complex loading and operating conditions cause significant blade vibrations. These vibrations, if not properly controlled and reduced, can lead to premature blade
-
will be augmented with atomistic structure data from electronic structure theory and STEM image simulations. All data will be combined into an automated workflow that predicts thermodynamically stable
-
that are highly controlled and potentially measured in milliseconds rather than seconds or minutes. This level of control will generate products with minimal side reactions and create the highest possible yields
-
techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will