Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- University of Cambridge
- King's College London
- Durham University
- Heriot Watt University
- University of London
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Imperial College London
- Nature Careers
- ; University of Oxford
- University of Birmingham
- University of Glasgow
- ; CRUK Scotland Institute
- ; Royal Holloway, University of London
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Exeter
- Aston University
- City University London
- Medical Research Council
- Swansea University
- UNIVERSITY OF VIENNA
- University of Lincoln
- University of Liverpool
- University of West London
- 18 more »
- « less
-
Field
-
of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
-
support needs of minoritised ethnic people with multiple long-term conditions, and transform how healthcare providers, communities and policymakers construct, respond to, and support them in local and
-
to work on a new study funded by the Wellcome Trust. The aim of this project is to advance understanding of the lived experiences and support needs of minoritised ethnic people with multiple long-term
-
to understand cancer outcomes, the planned work will address the need to evaluate data from multiple patient groups that are under-represented in clinical trials, including those from Black, Asian and Minority
-
aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
-
states of matter, which are generally characterised by their long-range quantum entanglement, fractionalised excitations, and absence of ordinary magnetic order, using multiple experimental techniques
-
Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
-
own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department
-
-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
-
analysis algorithms for the observation and interpretation of existing and new spectroscopic data of exoplanet atmospheres. Experience on cloud/haze microphysics modelling and large scale simulations is