Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- University of London
- Durham University
- University of Cambridge
- Heriot Watt University
- King's College London
- DURHAM UNIVERSITY
- UNIVERSITY OF VIENNA
- Manchester Metropolitan University
- University of Liverpool
- Aston University
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- Swansea University
- University of Manchester
- University of Sheffield
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Dundee
- Birmingham City University
- City University London
- Heriot-Watt University;
- Imperial College London
- Lancaster University
- Royal College of Art
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Royal Veterinary College, University of London;
- University of Bath
- University of Birmingham
- University of Glasgow
- University of Hull
- 26 more »
- « less
-
Field
-
Artificial Intelligence and assistive technology, we aim to be at the forefront of equipping key stakeholders to identify, explore, and scaffold opportunities for strengths-based approaches that allow
-
of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge
-
for Translational Bioinformatics is a team of computational biologists, software engineers and data scientists located within the Digital Environment Research Institute (https://www.qmul.ac.uk/deri/) at Queen Mary
-
workflows and validate the established systems in tandem with clinical partners. About You You will possess a PhD (or be nearing completion) in mechanical, electrical, or biomedical engineering, or a related
-
the physical and life sciences at the Science and Technology Facilities Council (STFC). Our suite of neutron and muon instruments gives unique insights into the properties of materials at the atomic scale. We
-
developing and maintaining radar equipment designed to capture quantitative data on pyroclastic density currents during volcanic eruptions. The successful candidate will have an engineering background and
-
accelerator laboratories, the R&D work of the Liverpool Hadronic Matter Group focuses on the development of Monolithic Active Pixel Sensors (MAPS), the state-of-the-art silicon sensor technology for high
-
with quantum coherent electronic spins at room temperature. Now, we plan to transform the material system to platform for quantum technology, a coherent 2D spin-photon interface for networks and sensing
-
to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
-
engineering of pathogenic fungi including Candida, Cryptococcus and Aspergillus species, and have experience of murine infection models. Please ensure you read the Job Description and Person Specification