Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- University of Birmingham
- Nature Careers
- CRANFIELD UNIVERSITY
- University of Oxford
- Cranfield University
- KINGS COLLEGE LONDON
- King's College London
- UNIVERSITY OF SURREY
- The University of Southampton
- University of London
- University of Leeds
- Cardiff University
- ; Imperial College London
- ; University of Oxford
- ; University of Southampton
- City University London
- Durham University
- Sheffield Hallam University
- St George's University of London
- University of Bristol
- University of Exeter
- University of Liverpool
- University of Salford
- University of Stirling
- University of Surrey
- 18 more »
- « less
-
Field
-
properties of vibrational sources in large built-up structures, such as cars or airplanes. We will incorporate data from measurements and implement these sources into large-scale structure-borne sound
-
with large data sets. You will join a European wide research group in the area of paediatric brain tumour trials with a keen focus on QoS. You will also be a member of the Clinical Neurosciences
-
decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
-
. The focus will be on linking early, cell-type-specific molecular alterations to large-scaleneural circuit impairments in mouse models, and on testing gene-therapeutic approaches to restore normal function
-
An exciting opportunity is available for a talented researcher to join the large and successful School of Health Sciences at the University of Southampton. You will join a multidisciplinary team who
-
for understanding key determinants of community connectedness To engage in data science debates, notable around the scope for large natural language models to be used to predict community level outcomes and the role
-
and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning
-
black hole scattering as a precision probe of inspiral-merger dynamics using self-force methods. Southampton's School of Mathematical Sciences is home to a large research group in gravitational physics
-
black hole scattering as a precision probe of inspiral-merger dynamics using self-force methods. Southampton's School of Mathematical Sciences is home to a large research group in gravitational physics
-
positive impact through cross-disciplinary interactions. Actively seeking new funding and creating opportunity for spinouts. Working towards real-world outcomes. Integrating large-scale data, AI, and