86 algorithm-"Multiple"-"Prof"-"U.S" "NTNU Norwegian University of Science and Technology" Postdoctoral positions in United Kingdom
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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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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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-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, OX1 3TA and is available from 1 October 2025
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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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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and collaborative. The successful applicant will be managing their own academic research and administrative activities. This involves small-scale project management, to co-ordinate multiple aspects
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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
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We