Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- The University of Southampton
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- KINGS COLLEGE LONDON
- UNIVERSITY OF SURREY
- University of Bristol
- University of Leeds
- University of London
- University of Surrey
- ; Technical University of Denmark
- King's College London
- University of Manchester
- University of Oxford
- University of Sheffield
- ; King's College London
- ; Queen Mary University of London
- CRANFIELD UNIVERSITY
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cardiff University
- City University London
- Kingston University
- Nottingham Trent University
- Oxford Brookes University
- QUEENS UNIVERSITY BELFAST
- St George's University of London
- Swansea University
- University of Cambridge
- University of Glasgow
- University of Greenwich
- University of Lincoln
- University of Stirling
- 25 more »
- « less
-
Field
-
(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
-
/c-eenrg at the Department of Land Economy, University of Cambridge, in the David Attenborough Building. The Fellow will work with Principal Investigator Prof. Laura Diaz Anadon, Chaired Professor
-
systems on software defined radio (SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide
-
. The successful applicant will use state of the art inference algorithms to design, use and share the findings of epidemiological models that integrate across large and diverse datasets including capture-mark
-
-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
-
in implementing, testing and validating complex minimisation algorithms that can be used for adaptive trials. Application & interview 8 Experience of collaborating on successful research proposals
-
to the development of innovative and sustainable low carbon plastic waste management and recycling solutions. In this project the post holder will develop novel algorithms and methods for analysis of plastic data
-
institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
-
based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
-
effects on behavioural pain responses using preclinical OA models. The appointed person will primarily be supervised by Prof Simon W Jones (Department of Inflammation and Ageing, University of Birmingham