Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Oxford
- University of Liverpool
- University of London
- University of Exeter
- Durham University
- University of Cambridge
- Bournemouth University
- KINGS COLLEGE LONDON
- ; Chr. Michelsen Institute (CMI)
- ; University of Aarhus
- ; University of Copenhagen
- ; University of Oxford
- DURHAM UNIVERSITY
- Edge Hill University
- Imperial College London
- King's College London
- Queen Mary University of London
- University of Lincoln
- 9 more »
- « less
-
Field
-
Machine Learning (ML) models and Python script or equivalent, as well as perform room temperature and cryogenic temperature electrical and mechanical measurements. What You Will Do: Perform mechanical
-
of experts in machine learning and colour vision, including Dr Alexandros Koliousis (NU London), Professor Rhea T. Eskew (NU Boston), and Professor Andrew Stockman (UCL), as well as with technical
-
imaging brain function that uses the new technology of Optically Pumped Magnetometers (OPMs). You will primarily help develop and apply new machine learning methods for analysing data from the OPM-MEG
-
. This data will help shape paediatric-specific T2T endpoints and facilitate the development of personalized treatment strategies. You will apply advanced statistical and machine learning methods, and your
-
relevant PhD/DPhil (or near completion*) in Computer Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences
-
to 2 years in the first instance. You will be responsible for the design and testing of machine-learning based algorithms for HAIC. You will work with clinical domain experts to develop tools and
-
using X-Ray images. The successful candidate will be responsible for conducting cutting-edge research in machine learning and computer vision applied to medical data. Responsibilities: Conducting research
-
computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will
-
science, artificial intelligence (AI) including machine learning, and statistics, and ideally experience in the application of data science and AI to medical datasets. You will be expected to manage and
-
specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will have a good track