Sort by
Refine Your Search
-
Listed
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UCL;
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- University of Birmingham
- King's College London
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Leeds
- University of Oxford
- Plymouth University
- Ulster University;
- University of London
- University of Warwick;
- AALTO UNIVERSITY
- De Montfort University;
- KINGS COLLEGE LONDON
- King's College London;
- Manchester Metropolitan University
- Nature Careers
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- Queen's University Belfast;
- Royal Holloway, University of London;
- The University of Edinburgh;
- The University of Manchester;
- University College London
- University of Aberdeen;
- University of Bath
- University of Dundee
- University of Exeter;
- University of Leeds;
- University of Manchester
- University of Nottingham;
- University of Sheffield
- University of Stirling
- University of Surrey
- University of Surrey;
- University of Sussex;
- York St John University
- 30 more »
- « less
-
Field
-
the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
-
Overview of the Role Are you experienced in machine learning and looking to apply your skills to solve new challenges and reduce disaster risk? Do you want to further your career in one of the UKs
-
will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
-
analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
-
design and implementation of visual cues detection on video datasets (face and gesture), context-aware multimodal analysis, machine learning/self-supervised learning for automatically detecting subtle
-
research. About the role: We are seeking a data scientist with extensive expertise in statistics, machine learning and AI, and with experience in mental health research and the analysis of electronic health
-
machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production
-
, computer simulations and machine-learning analyses. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z
-
responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and
-
or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal