37 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" Fellowship positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- UCL;
- University of Nottingham
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Leeds
- Bangor University
- KINGS COLLEGE LONDON
- Nature Careers
- Northumbria University
- Plymouth University
- The University of Edinburgh;
- The University of Manchester;
- Ulster University;
- University College London
- University of Aberdeen;
- University of Birmingham
- University of Dundee
- University of Manchester
- University of Oxford
- University of Sheffield
- University of Warwick;
- 11 more »
- « less
-
Field
-
candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
-
. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
-
of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
-
, b) computational modelling, or c) machine learning. This is a complex project managing longitudinal data from a range of sources. Therefore, thoroughness and attention to detail while managing
-
Surrey’s track record of translating fundamental machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate
-
statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; b) work on sleep datasets exploring
-
collocates Hawkes (formerly CMIC), UCL’s AI Centre (AIC), and UCL’s Advanced Research Computing Centre (ARC) creating a vibrant hub of data-science researchers with interests from basic machine learning and AI
-
environments will provide the successful candidate with opportunities to learn from a large network of talented professionals. Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL
-
component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
-
modelling, machine learning, growth mixture modelling). Excellent skills in statistics and advanced quantitative data analysis, including strong skills in command driven programming languages (e.g., STATA, R