Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- Imperial College London
- Nature Careers
- University of Birmingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- Heriot Watt University
- King's College London
- UNIVERSITY OF SURREY
- University of Cambridge
- The University of Southampton
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Nottingham
- University of Sheffield
- Durham University
- University of Bath
- University of London
- University of Manchester
- City University London
- University of Glasgow
- University of Liverpool
- University of Newcastle
- Aston University
- Aston University;
- Medical Research Council
- Nottingham Trent University
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- Technical University of Denmark
- UCL;
- University of Bath;
- University of Leeds;
- University of Oxford;
- ; University of Oxford
- Brunel University
- CRANFIELD UNIVERSITY
- Cardiff University
- College of Chemistry and Molecular Engineering, Peking University
- EMBL-EBI - European Bioinformatics Institute
- King's College London;
- Lancaster University
- Lancaster University;
- Northumbria University;
- Queen's University Belfast
- Queen's University Belfast;
- Swansea University
- UNIVERSITY OF MELBOURNE
- Ulster University;
- University of Bristol
- University of Leeds
- University of Lincoln
- University of Nottingham;
- University of Plymouth;
- University of Reading
- University of Sheffield;
- University of Southampton;
- University of Surrey
- University of Surrey;
- University of West London
- 53 more »
- « less
-
Field
-
algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
-
To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
-
will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous
-
that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
-
, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and
-
navigation algorithms and machine learning models on physical robot platforms. We are particularly interested in candidates with expertise in generative AI and curriculum learning applied to robotics, as
-
is aimed at technical innovations in computer vision and computer graphics (segmentation, registration, tracking and visualisation) to enable real-time interaction for surgical planning and decision
-
AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical
-
Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as
-
Are you an atmospheric scientist looking to apply your expertise to real-world forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction in Africa, and