Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- University of Oxford;
- King's College London
- UNIVERSITY OF VIENNA
- University of London
- Durham University
- ;
- AALTO UNIVERSITY
- Nature Careers
- University of Cambridge;
- Bournemouth University;
- Cardiff University
- Edge Hill University;
- Heriot Watt University
- Lancaster University
- Queen Mary University of London;
- University of Exeter;
- University of Glasgow
- University of Liverpool;
- University of Reading
- University of Reading;
- 12 more »
- « less
-
Field
-
the Oxford–Novartis Collaboration for AI in Medicine. It is essential that you hold a PhD/DPhil (or are close to completion) in Statistics, Biostatistics, Statistical Machine Learning, or a closely related
-
the supervision and mentoring of junior researchers and doctoral students. It is essential that you hold a PhD/DPhil in Statistics, Biostatistics, Statistical Machine Learning, or a closely related quantitative
-
and early diagnosis of bowel cancer. The successful candidate may supervise more junior researchers in the statistical analysis or preparation of data. They will be supported by a multidisciplinary
-
counting algorithms), and statistical physics. About You The successful applicant will have, or soon obtain, a PhD degree in mathematics or related, or equivalent level of professional qualifications and
-
: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong
-
for early-stage cancer using statistics and/or machine learning (including deep learning where appropriate). You will join a vibrant and growing research group of 12 scientists (six postdoctoral researchers
-
manuscripts, reports to funders and other materials for other audiences based on the results from research studies. You must hold a PhD/DPhil (or be near completion) in epidemiology, public health, applied
-
in theory of probability and statistics, machine learning, or formal methods. The post is available from 2 March 2026 until 1 March 2028. If you are still awaiting your PhD to be awarded you will be
-
completing a PhD in a subject relevant to the project, which includes (but is not restricted to) statistical physics, biological physics, soft condensed matter physics, and fluid mechanics. The post is funded
-
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