Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- AALTO UNIVERSITY
- University of Cambridge
- University of Cambridge;
- University of Liverpool
- University of Newcastle
- University of Oxford
- KINGS COLLEGE LONDON
- ; University of Cambridge
- Heriot Watt University
- Heriot-Watt University;
- Imperial College London
- Liverpool John Moores University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Glasgow
- University of Sheffield;
- University of Strathclyde;
- 7 more »
- « less
-
Field
-
, a PhD (or have equivalent experience). Candidates with a background in environmental or related sciences are particularly encouraged to apply, but we will also consider those with other numerical
-
machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
-
. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
-
represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
-
infection. As part of this work, the postholder will also explore the contribution of the host microbiome to resistance emergence. (Research Associate) Applicants must have a PhD (or be working towards a PhD
-
There is an exciting opportunity for two students to pursue a funded PhD with Angelo Pirrone, Nathan Evans, Giovanni Sala and Konstantinos Tsetsos at the University of Liverpool, starting in October
-
for An. stephensi and native vectors in urban settings in Africa. The candidate will also provide training and technical support to researchers and PhD students from partner research institutes who are leading
-
work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
-
MEng degree (or equivalent) and a PhD in Maritime Engineering and Technology or pertinent disciplines (Res Assistant if no PhD), adequate knowledge of modelling marine engines operations with alternative
-
of our key research directions relevant for this position. Candidates should have (or be near to completing) a PhD in Computer Science or a related subject, or relevant experience. A high degree of