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may invite suitable candidates to interview already during the application period. The positions will be filled as soon as suitable candidates are identified. For additional information, contact Prof
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machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
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foundations of ensemble-based forecasting in climate models, mostly in general circulation models (GCMs). You will work with the PI of the project (Prof. Victor Elvira) and collaborate with other ARIA projects
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A postdoctoral position is available in Prof. Ivan Ahel’s group based in the Sir William Dunn School of Pathology, University of Oxford to study the interplay of ADP-ribosylation and ubiquitylation
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Please email hr.recruitment@uwl.ac.uk if you need any assistance with the application process. For informal enquiries about the position please contact Prof Hermine Mkrtchyan, Hermine.Mkrtchyan@uwl.ac.uk
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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot
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to work on meaningful projects with direct clinical relevance. About the role In this role, you will develop and implement computer vision and deep learning algorithms to analyse CT and MRI data from
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candidate will be required to take a lead role in all aspects of the project, contributing directly to the experiment and working closely with Prof Matthew Jones, collaborators within the CoCoRiCo consortium
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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either France or Ireland). The post holders will also work closely with Prof. Cloatre and the rest of the team towards the broader objectives of the project, and will be embedded in its broader cross