Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- Heriot Watt University
- Durham University
- Imperial College London
- King's College London
- University of London
- City University London
- Nature Careers
- Northumbria University;
- Nottingham Trent University
- Technical University of Denmark
- University of Cambridge
- University of Cambridge;
- University of Lincoln
- University of Liverpool
- University of Manchester
- University of Nottingham
- University of Oxford;
- University of Reading
- University of Sheffield
- University of West London
- 15 more »
- « less
-
Field
-
computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
-
) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
-
About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
-
intelligence; can present at national and international conferences; and prepare manuscripts as first or joint author for submission to leading journals and conferences in machine learning, cancer research and
-
) in machine learning or a closely related field you should possess sufficient specialist knowledge in the discipline to work within established research programmes and have an ability to manage own
-
observation-based climate datasets. In addition, we will also use innovative machine learning tools to evaluate the relationship between a set of hypothesised climatic precursor conditions, called (potential
-
researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state-of-the-art results in many applications. As a leading
-
Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
-
following: Quantum chemistry (preferably of excited states) Multiscale simulations/environmental modelling Excited state dynamics Data Science/Machine learning in chemistry/Cheminformatics Molecular dynamics
-
Machine Learning. The research objective of this position is to design and conduct studies on human perception, to investigate the effect of different visualization techniques on human users. A particular