Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Nottingham
- UNIVERSITY OF SOUTHAMPTON
- Plymouth University
- UCL;
- Imperial College London
- KINGS COLLEGE LONDON
- Nature Careers
- The University of Southampton
- University of Bath;
- Aston University
- Aston University;
- City University London
- Imperial College London;
- University of Leeds
- University of Leeds;
- University of Nottingham;
- University of Oxford
- University of Plymouth;
- University of Southampton;
- ;
- Brunel University
- CRANFIELD UNIVERSITY
- Cranfield University;
- EMBL-EBI - European Bioinformatics Institute
- King's College London
- Lancaster University
- NORTHUMBRIA UNIVERSITY
- Northumbria University
- Northumbria University;
- Nottingham Trent University
- Queen's University Belfast;
- The University of Edinburgh;
- UNIVERSITY OF SURREY
- University College London
- University of Bath
- University of Birmingham
- University of Bristol
- University of Bristol;
- University of Hertfordshire;
- University of London
- University of Manchester
- University of Stirling;
- 33 more »
- « less
-
Field
-
Overview of the Role Are you experienced in machine learning and looking to apply your skills to solve new challenges and reduce disaster risk? Do you want to further your career in one of the UKs
-
Applicants are invited for the posts of Postdoctoral Research Associate or Research Fellow in Machine Learning to work with AI Researchers in the Centre for AI Fundamentals at the University
-
from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
-
standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: Hatfield, Hybrid We are seeking a full-time Research Fellow on Machine Learning
-
from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
-
will involve the development of advanced data analytic and machine learning techniques applied to the processing of sensing signals obtained from advanced fibre-optic communication systems. You will be
-
and Telecommunications Architectures for Tectonic and Infrastructure Characterisation - https://ecstatic-project.eu/ ) The role will involve the development of advanced data analytic and machine
-
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
-
will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
-
years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and