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. Creating new notions of model quality will help further understand DL models, which in turn will lead to the creation of better, more reliable, and more interpretable machines. This additionally has
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gain experience will be offered during the 4th year (up to 50% can be dedicated to teaching in the final year). The research should lead the candidate to obtain a PhD within a four-year timeframe. The
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Date 14th June 2024 Sponsor AstraZeneca Supervisors Prof. Akane Kawamura (Lead), Prof. Mike Waring , Prof. Ian Hickson Eligibility Criteria Please see the MoSMed website for further details regarding
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This project could be right for you if you enjoy solid mechanics and structures, have an inclination toward computational and analytical mechanics, and are also interested in carrying out physical experiments
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will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity
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awarded a first class or 2.1 honours degree (or equivalent if from other EU countries) in materials science, chemistry, physics, chemical engineering, mechanical engineering, manufacturing, or a relevant
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that are submitted without following the correct application process, or those exceeding the page limits for CV’s and motivation letters will not be considered. The successful applicant will subsequently be required
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information and other funding options: View Website Eligibility Students are expected to hold a 2.1 Hons degree or above, or equivalent, in Electronics and Electrical Engineering, Computer Science, Physics