Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Imperial College London
- Nature Careers
- University of Birmingham
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UNIVERSITY OF SURREY
- King's College London
- QUEENS UNIVERSITY BELFAST
- University of Cambridge
- University of London
- University of Nottingham
- ; University of Oxford
- Birmingham City University
- CRANFIELD UNIVERSITY
- Lund University
- Nanyang Technological University
- Plymouth University
- Queen's University Belfast
- Queen's University Belfast;
- Technical University of Denmark
- UCL;
- UNIVERSITY OF MELBOURNE
- University of Glasgow
- University of Leeds
- University of Lincoln
- University of Liverpool
- University of Manchester
- University of Oxford
- University of Plymouth;
- University of Sheffield
- University of Southampton;
- 24 more »
- « less
-
Field
-
candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
-
turbine engines. Successful candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use
-
technologies Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration for agricultural applications Human-Robot Interaction in agricultural contexts Robotic Perception and
-
programming language Experience with statistical inference or machine learning methods (e.g. ABC, Bayesian modelling) A proven publication record with at least one first author publication in a peer-reviewed
-
of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
-
from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
-
: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
-
and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
-
of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
-
decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution