Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- King's College London
- University of London
- AALTO UNIVERSITY
- University of Cambridge
- DURHAM UNIVERSITY
- Heriot Watt University
- University of Glasgow
- University of Birmingham
- University of Liverpool
- Birmingham City University
- UNIVERSITY OF VIENNA
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; The University of Edinburgh
- ; University of Oxford
- Aston University
- Imperial College London
- Liverpool John Moores University
- Medical Research Council
- Plymouth University
- University of Hull
- University of Lincoln
- University of Newcastle
- University of West London
- 18 more »
- « less
-
Field
-
You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies
-
We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
-
to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and correlating findings with analysis of patient material. You will
-
of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
-
experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
-
of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
-
of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
-
associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times
-
. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a supercomputer shared by Austria's major universities. We focus on the development of methods to solve the many
-
transporter inhibitors (SGLT2i) regulate inflammation and fibrosis using different in vitro models of human kidney disease. We are seeking a skilled Post-Doctoral Research Associate to join the Renal Team