Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- KINGS COLLEGE LONDON
- University of Oxford
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- ;
- Heriot Watt University
- King's College London
- University of Liverpool
- AALTO UNIVERSITY
- Heriot-Watt University;
- Imperial College London
- Manchester Metropolitan University
- Technical University of Denmark
- University of Cambridge
- University of Liverpool;
- University of Oxford;
- 5 more »
- « less
-
Field
-
methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
-
institutions. You will lead the computational aspects of this exciting project by leveraging AI tools such as AlphaFold and developing novel deep generative models and/or large language models. The aim is to
-
. 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
-
-based cameras (e.g. DVXplorer), and tactile/force sensors. 3. Strong background in computer vision and deep learning, with practical implementation experience. 4. Proficiency in programming with
-
electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
-
About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
-
At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
-
At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
-
At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
-
be the state estimation of the robotic system from external cameras. Familiarity with existing methods from these domains, such as Deep Learning, Quality-Diversity algorithms, reinforcement learning