Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- Heriot Watt University
- Durham University
- KINGS COLLEGE LONDON
- University of Cambridge
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of London
- DURHAM UNIVERSITY
- Loughborough University
- Nature Careers
- University of Glasgow
- University of Liverpool
- ; King's College London
- ; University of Copenhagen
- ; University of Reading
- Aston University
- City University London
- King's College London
- Nottingham Trent University
- Plymouth University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Newcastle
- University of Reading
- 15 more »
- « less
-
Field
-
We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to join the Oxford-Novartis Collaboration in AI Medicine team at Nuffield
-
The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
-
will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
-
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
-
Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
illnesses. The postholder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning
-
scientists, and researchers working on medical image analysis, machine learning, and audiology. Our recent work has focused on using deep learning to analyse temporal bone CT scans and brain MRI data in
-
Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences and should hold sufficient theoretical and practical
-
Agency (ARIA). The PROTECT project (Probabilistic Forecasting of Climate Tipping Points) brings together cutting-edge AI, statistical, and machine learning techniques with climate modelling, aiming
-
. Ahmed Sayed. The main project (KUber) is, EPSRC-funded, aiming at building novel distributed architectures to facilitate the exchange and delivery of acquired knowledge among machine learning entities
-
developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project