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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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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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scheduled for late June 2025. Applications for this vacancy are to be made online via our e-recruitment system, and you will be required to upload a supporting statement and CV as part of your online
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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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time and available immediately. The closing date for applications is 12.00 noon on Friday 30th May, interviews are likely to be scheduled for early to mid June. Applications for this vacancy are to be
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date for applications is 12.00 noon on Wednesday 28th May 2025, interviews are likely to be scheduled for mid June 2025. Applications for this vacancy are to be made online via our e-recruitment system
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scheduled for mid-June. Applications for this vacancy are to be made online via our e-recruitment system, and you will be required to upload a supporting statement and CV as part of your online application.
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, papers, transcripts, mark sheets or certificates as these will not be considered as part of your application. Interviews are scheduled to take place at the Department of Materials on Wednesday 18 June 2025
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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developing new algorithmic approaches for TAPS data, interpreting the results in the context of phenotypic observations, and communicating these findings clearly to the broader team. You will prepare the