Sort by
Refine Your Search
-
Listed
-
Employer
- University of Sheffield
- University of Oxford
- University of Bristol
- University of Manchester
- DURHAM UNIVERSITY
- UNIVERSITY OF VIENNA
- Durham University
- Imperial College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Ulster University
- University of Oxford;
- KINGS COLLEGE LONDON
- Nottingham Trent University
- The University of Manchester;
- University of Cambridge;
- University of Glasgow
- ;
- Aston University
- Swansea University
- University of Bristol;
- EMBL-EBI - European Bioinformatics Institute
- Heriot Watt University
- Imperial College London;
- Loughborough University
- Nature Careers
- Regent College London, part of the Regent Group;
- The University of Edinburgh;
- UNIVERSITY OF SURREY
- University of Glasgow;
- AALTO UNIVERSITY
- Arm
- Cardiff University
- King's College London
- Lancaster University
- Liverpool John Moores University;
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- MRC Laboratory of Medical Sciences
- Medical Research Council
- Plymouth Marine Laboratory;
- Research England;
- STFC - The Science and Technology Facilities Council;
- Swansea University;
- The University of Manchester
- University of Bath
- University of Birmingham
- University of Exeter;
- University of Newcastle
- University of Nottingham
- University of Reading;
- University of Sheffield;
- University of Strathclyde;
- University of Ulster
- University of Warwick;
- University of West London
- Wenzhou Business College
- 45 more »
- « less
-
Field
-
the hardware and the visualisation algorithms, running demos, organising and conducting trials, discussing with the manufacturers, and implementing the project’s advisory group suggestions, collecting and
-
. Based at Swansea University, you will play a central part in a multi-institution effort that blends algorithmic innovation with robust, production-quality research software. You will lead the design
-
related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm and experience in using these algorithm for electrical engineering problems
-
the analysis of facial movements. Subtle features such as facial asymmetry, impaired muscle control, and abnormal expression patterns often emerge during the acute phase of stroke. By designing algorithms
-
cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap
-
, autonomous learning agents are likely to take an active role in human society, engaging in daily interaction and collaboration with humans. Developing learning algorithms that enable these agents to produce
-
. Without these guarantees, the algorithms will remain limited to experimental testbeds. The aim of this project is to address this limitation by combining the complexity of deep-learning control policies
-
the workflow becomes useful for real-time structure-based drug design. The role encompasses algorithms, logistics of compound sourcing and coordination with experiment, and software engineering to containerize
-
practice while supporting complex tasks such as image and video enhancement, layered editing, and object-level content manipulation. The candidate will contribute to 1) algorithmic development, including
-
project quotes based on defect inputs, and real-time supply chain performance, embedding decision-making algorithms and learning mechanisms into business operations, whilst moving away from manual and