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://twhiscock.github.io/). There are multiple projects available in the group, and considerable flexibility in project direction. Successful candidates will have the opportunity and mentorship available to develop
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range of disciplines, funded by the Leverhulme Trust to increase knowledge of how the relationship between humanity and the natural world is changing, and how we might maintain and develop a sustainable
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Biology you will be performing laboratory experiments and data analysis to support drug and disease research in multiple projects in the group. The candidate is expected to lead a drug development project
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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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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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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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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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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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Edinburgh. The position is available from 1st October 2025 for a 2-year, full-time contract. You will join the mathematical physics group, which consists of fifteen faculty members and multiple postdoctoral
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects