Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- University of Oxford;
- University College Cork
- AALTO UNIVERSITY
- Durham University
- King's College London
- University of Liverpool
- Aston University
- Queen Mary University of London;
- UNIVERSITY OF VIENNA
- MAYNOOTH UNIVERSITY
- Nature Careers
- Plymouth University
- The University of Edinburgh;
- University of Bath
- University of Cambridge;
- ;
- Cardiff University
- DURHAM UNIVERSITY
- Durham University;
- Heriot Watt University
- Heriot-Watt University;
- Imperial College London
- King's College London;
- RCSI - Royal College of Surgeons in Ireland
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Trinity College Dublin
- University of Canterbury, New Zealand;
- University of Lincoln
- University of Lincoln;
- University of Liverpool;
- University of London
- University of Nottingham
- 23 more »
- « less
-
Field
-
MRIs (available in HIE cases) and radiomic features predictive of school-age MRI extracted. Machine learning algorithms of radiomic features predictive of future brain development will be developed
-
and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
-
students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a plus. We
-
of doctoral students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a
-
the Department of Physics. Machine learning has made enormous progress during recent years, entering almost all spheres of technology, economy and our everyday life. Machines perform comparably to, or even surpass
-
thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
-
turbines represented using an actuator-line approach, assess the applicability and limitations of reduced-order models in predicting turbine performance, and develop machine-learning surrogate models capable
-
responsible for supporting the delivery of various foresight research projects the Centre will be undertaking. This is an excellent opportunity to gain academic research experience and to learn from leading
-
experience in cosmological simulations, analysis of cosmic microwave background and/or large-scale structure datasets, machine learning methods applied to cosmology, or theoretical modelling of cosmological
-
proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and supporting disabled staff