Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- AALTO UNIVERSITY
- University of Cambridge
- University of Newcastle
- University of Cambridge;
- Imperial College London
- KINGS COLLEGE LONDON
- NORTHUMBRIA UNIVERSITY
- University of Oxford
- Liverpool John Moores University
- Nature Careers
- Northumbria University;
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Glasgow
- University of Leeds
- University of Leeds;
- University of Liverpool
- University of Nottingham
- University of Sheffield;
- 9 more »
- « less
-
Field
-
sustainable heritage management decisions (particularly in an African context), using advanced methods in satellite imagery analysis, remote sensing and machine learning, combined with geospatial analysis
-
health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
-
in a lab environment. You should be highly driven, keen to learn and you will have strong organisational and communication skills with the ability to effectively prioritise lab duties, both
-
insights from geometry and topology to discover new applications of machine learning. Multiple positions may be available. Role Requirements The successful candidate must have a PhD (or close to submitting
-
(PhD) training and mentorship. Vacancies are open to medically qualified trainees in any clinical discipline with an academic interest in cancer and who are based anywhere in the UK. All candidates
-
Multiple Sclerosis (MS) with a view to highlighting the implications for clinical practice. A recently completed PhD (PhD1) study, supervised by Dr Andrea Hollomotz and Professor Helen Ford at the University
-
patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung
-
Abuse (DVA) experiences of people with Multiple Sclerosis (MS) with a view to highlighting the implications for clinical practice. A recently completed PhD (PhD1) study, supervised by Dr Andrea Hollomotz
-
& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
-
YOU Applicants should hold a PhD and have demonstrable specialist expert knowledge in Public Health, preferably in the drugs and alcohol area. Further information about the requirements of the role is