Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; University of East Anglia
- ; The University of Manchester
- ; University of Warwick
- University of Nottingham
- ; Loughborough University
- ; Swansea University
- ; University of Nottingham
- ; University of Surrey
- ; University of Exeter
- ; University of Leeds
- ; University of Plymouth
- University of Cambridge
- ; University of Birmingham
- ; The University of Edinburgh
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; Cranfield University
- ; Manchester Metropolitan University
- ; University of Southampton
- Swansea University
- University of Exeter
- University of Oxford
- University of Sheffield
- ; Anglia Ruskin University
- ; Aston University
- ; City St George’s, University of London
- ; London South Bank University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Newcastle University
- ; Queen Mary University of London
- ; UWE, Bristol
- ; University of Bradford
- ; University of Bristol
- ; University of Greenwich
- ; University of Hull
- Aston University
- Newcastle University
- Sheffield Hallam University
- Ulster University
- University of Birmingham
- University of Glasgow
- University of Liverpool
- University of Newcastle
- 36 more »
- « less
-
Field
-
. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
-
. when do we stop modelling? How do we track / score the quality of the model What is the required level of quality over time How can quality be brought to the required level Can Machine Learning, Large
-
with, cloud computing and virtualisation technologies Familiarity and hands-on experience with machine learning techniques desirable Desirable to have work experience (through internships or similar) in
-
. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
-
-speed cameras (in a newly renovated lab dedicated to our research group). A significant component of the analysis will include image processing, including data-driven methods and machine learning. You
-
have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge of interdisciplinary
-
supplied by Infineum Ltd. • To incorporate Machine Learning (ML) algorithms into the calculation of the forces on the constituent particles, so as to significantly speed up the algorithm. • To incorporate
-
collaboration with good oral and written communication skills. Previous research experience in machine learning, deep learning and/or computer vision is essential.
-
of vehicle emissions' impact on air quality using data-driven methods and machine learning. The information gained will be used to determine the required mix of vehicles (i.e. petrol, diesel, hybrid, electric
-
main project by addressing specific case studies or specific targeted techniques. The main tools to be used will come from the discipline of Machine Learning, particularly those based on Bayesian methods