Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- University of London
- UNIVERSITY OF VIENNA
- University of Cambridge
- Durham University
- Heriot Watt University
- King's College London
- Imperial College London
- University of Glasgow
- ; King's College London
- ; Technical University of Denmark
- ; University of Kent
- City University London
- Nature Careers
- Nottingham Trent University
- University of Bath
- University of Liverpool
- University of Manchester
- University of Nottingham
- University of Reading
- University of West London
- 14 more »
- « less
-
Field
-
bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
-
to: Use gut models to explore new microbial approaches associated with cognitive function and gut health in military personnel Develop new probiotic microorganisms and synbiotic variants, and Evaluate (in
-
biomedical literature Knowledge of machine learning / deep learning with an interest in the application to Electronic Patient Records. Downloading a copy of our Job Description Full details of the role and the
-
Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences and should hold sufficient theoretical and practical
-
-electron Schrödinger equation for fermions and bosons with high accuracy and on the application of these methods to problems in the physics of oxides, semiconductors and their surfaces. Machine learning
-
scientists, and researchers working on medical image analysis, machine learning, and audiology. Our recent work has focused on using deep learning to analyse temporal bone CT scans and brain MRI data in
-
Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant. an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and
-
the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
-
first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
-
should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine