Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- ;
- King's College London
- University of Oxford
- University of Cambridge
- University of London
- University of Nottingham
- University of Newcastle
- University of Sheffield
- ; Manchester Metropolitan University
- ; University of Southampton
- ; University of Surrey
- Durham University
- Edge Hill University
- Medical Research Council
- University of Glasgow
- University of the Arts London
- ; Loughborough University
- ; University of Bristol
- University of Bath
- University of Bristol
- University of Kentucky
- University of Leicester
- University of the West of England
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Cambridge
- ; University of Nottingham
- ; University of Warwick
- Bangor University
- Birmingham City University
- Bishop Grosseteste University
- Brunel University
- Cardiff University
- KINGS COLLEGE LONDON
- Kingston University
- Leeds Trinity University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- Ulster University
- University of Exeter
- University of Liverpool
- University of Northampton
- University of Stirling
- 36 more »
- « less
-
Field
-
The University of Surrey is offering a fully funded PhD studentship on the topic of Audio/acoustics machine learning for intelligent sound reproduction, with industrial partner Bang & Olufsen
-
One PhD studentship is available in the area of machine learning theory (statistical learning theory and deep learning theory) or theoretical-oriented topics, e.g., trustworthy machine learning
-
implementation of position location estimation using Machine Learning (ML) techniques has been proposed as a methodology to improve performance beyond that of existing techniques, particularly in non-line-of-sight
-
Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a
-
Project title: Machine Learning models for subgrid scales in turbulent reacting flows Supervisory Team: Temistocle Grenga, Ed Richardson Project description: Supervised deep convolutional neural
-
machine-learning techniques in ST studies. Our approach introduces two innovations: developing sparse Bayesian learning algorithms for efficient small dataset analysis and designing a simulator for
-
aureus (Orazi et al. mBio 2019). You will apply state-of-the-art, machine learning methods (deep neural networks and evolutionary algorithms) on big-data from thousands of individual bacterial (Lapinska et
-
state-of-the art polymer synthesis platforms which can generate libraries of new polymers. These systems include sophisticated machine learning guided reactor platforms which integrate experiment
-
. Ability to work both independently and as part of a multidisciplinary team 6. Willingness to learn new analytical methods within the Machine learning field Desirable criteria 1. Completed PhD with
-
Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab. The project aims to integrate multi-scale neuro-genomic and imaging datasets across brain regions, cell types and developmental