Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- University of Oxford;
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- King's College London
- Durham University
- University of Liverpool
- ;
- Bournemouth University;
- University of Cambridge;
- University of Liverpool;
- Aston University
- City University London
- Heriot Watt University
- Lancaster University
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Leicester
- University of Leicester;
- University of London
- University of Sheffield
- 12 more »
- « less
-
Field
-
Applications are invited for a Postdoctoral Research Assistant in Plasma Accelerators at the John Adams Institute for Accelerator Science. The post is available for a fixed-term duration of 24
-
of Engineering Science. The post is funded by EPSRC and is fixed term to the 31st January 2027. A2I explores core challenges in AI and machine learning to enable robots to robustly and effectively operate in complex, real
-
well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
-
possible for up to 1 day/week. You will join an interdisciplinary team of researchers spanning imaging science, machine learning, genetics, and population health, working closely with collaborators
-
for Health Research (NIHR) and provides highly rated medical training in psychiatry. The Head of Department is Professor Belinda Lennox. We are seeking 2 postdoctoral researchers to join the laboratories
-
for Health Research (NIHR) and provides highly rated medical training in psychiatry. The Head of Department is Professor Belinda Lennox. We are looking to appoint a postdoctoral researcher to the laboratory
-
-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
-
part-time post (0.2FTE) ideal for someone working in industry or with industry experience. This is because we want to bring in expertise with data processing and machine learning pipelines, and their
-
-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
-
. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus. You will join an interdisciplinary team of researchers spanning imaging science, machine learning