Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- University of Oxford;
- King's College London
- UNIVERSITY OF VIENNA
- ;
- University of Liverpool
- City University London
- Durham University
- Heriot Watt University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Cambridge;
- University of Liverpool;
- Aston University
- Bournemouth University;
- College of Chemistry and Molecular Engineering, Peking University
- Imperial College London
- King's College London;
- Medical Research Council
- Nature Careers
- Northumbria University;
- Technical University of Denmark
- The University of Edinburgh;
- University of Bath
- University of Cambridge
- University of Leeds
- University of London
- University of Nottingham
- University of Sheffield
- 20 more »
- « less
-
Field
-
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
-
more effective screening and therapy. The postholder will focus on developing and applying advanced computer vision and machine learning methods for multimodal imaging and real-time analysis in
-
intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet
-
on the theory and applications of variational quantum algorithms and quantum machine learning. We also have activity in quantum optics, so additional experience and interest in this topic is considered a definite
-
2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
-
properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
-
., knowledge representation and reasoning) and bottom-up (e.g., machine learning) methods to study the representation of geographic categories and processes. While we welcome applicants from a broad range of
-
climate scientists and artificial intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine
-
About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
-
. DVXplorer), and tactile/force sensors. Strong background in computer vision and deep learning, with practical implementation experience. Proficiency in programming with C++ and Python, including use of ROS