Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- AALTO UNIVERSITY
- Heriot Watt University
- King's College London
- Durham University
- Imperial College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Cambridge;
- University of Liverpool
- University of Oxford;
- City University London
- King's College London;
- Medical Research Council
- Northumbria University;
- Technical University of Denmark
- The University of Edinburgh;
- University of Bath
- University of Liverpool;
- University of London
- University of Manchester
- University of Nottingham
- University of Reading
- University of Sheffield
- University of West London
- 17 more »
- « less
-
Field
-
theoretical understanding of statistical machine learning methods relevant to the project: Bayesian learning, machine learning, spiking neural networks. Experience of programming (e.g. with Python) and data
-
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
-
: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
-
vision research. The department fosters interdisciplinary collaboration, addressing real-world challenges through innovative machine learning, data science, and intelligent systems research. About the role
-
the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
-
operation · Application of artificial intelligence or machine learning in energy or engineering systems 5. Strong programming and modelling skills using relevant tools such as Python, MATLAB
-
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
-
and Machine Learning (ECU, Perth, AU) and the School of Psychiatry and Clinical Neuroscience (UWA, Perth, AU). Importantly, we adopt a flexible working environment within the lab and are happy
-
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
-
(KCL, London, UK) but will also have the opportunity to travel and work at the Centre for AI and Machine Learning (ECU, Perth, AU) and the School of Psychiatry and Clinical Neuroscience (UWA, Perth, AU