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Field
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(AI) and machine learning (ML) could greatly change how doctors diagnose and treat cancer. One important part of this process is looking at pictures of tissue samples (called histopathology images
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of energy-efficient hardware, embedded machine learning and sensor-integrated nodes for the edge of the network. We offer a supportive and inclusive academic environment, with access to state-of-the-art lab
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registration and already hold or be close to obtaining a PhD/ DPhil/MD. They should be eligible to work as a GP in the UK. The post holder will be eligible to apply for the School Learning and Development Fund
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-grained simulations, advanced sampling, and machine learning for predicting and analysing short-lived protein conformations. Enhance and automate workflows for reproducible simulations and structure-based
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, and Bash Excellent communication skills You might also have Familiarity with modern machine learning, in particular large language models Experience with the design and implementation of web interfaces
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qualification in Computer and Data Science A master's degree or PhD [awarded in computing or a closely related discipline will be an advantage] Proven work experience with the development of ML Proficient in
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expertise in interdisciplinary mathematical modelling, inverse problems, finite element methods (especially in complex and applied settings), machine learning techniques in scientific and industrial
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) improve the estimation method using information from the first part of the work and additional constraints, including a Machine Learning approach. (3) inspect how the mismatched expected and measured
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, multi-disciplinary research group, and learn from experienced members of staff and other PhD students. Group members come from a diverse range of backgrounds and disciplines, with the group promoting a
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or more of the teaching areas of the department: Computer Science Computer Networks Ethical Hacking Network Security You will be expected to have relevant teaching experience and a PhD in Computer