Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- UNIVERSITY OF SURREY
- University of Bristol
- University of Nottingham
- University of Surrey
- City University London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- The University of Southampton
- University College London
- University of Oxford
- 3 more »
- « less
-
Field
-
conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
-
research in the field of AI for healthcare autonomous systems. Activities on non-healthcare systems could occasionally be requested. Undertake research from algorithm development to real time implementation
-
include but are not limited to: network architecture design for NTN and terrestrial network (TN) convergence, intelligent traffic steering algorithms between TN and NTN, orchestration of TN/NTN resources
-
-fostering prototypes through co-design with children, creating evaluation frameworks to assess children's algorithmic agency in educational contexts, and establishing design principles that prioritize
-
to) fundamental research in machine learning or statistics, algorithm design, the application of AI methods in science, healthcare, social sciences, or business. You should have a PhD or equivalent level of
-
algorithms, develop detailed data analysis plans and contribute to writing technical documentation and scientific reports. The Research Fellow - Health Data Scientist will help plan and participate in regular
-
are not limited to: network architecture design for NTN and terrestrial network (TN) convergence, intelligent traffic steering algorithms between TN and NTN, orchestration of TN/NTN resources for end-to-end
-
development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
-
position is part of the AI2 (Algorithmic Assurance and Insurance) research initiative, an ambitious programme supported by the UK Prosperity Research Scheme with partners from both industry and academia. Our
-
(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience