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looking to appoint a Reader in Computer Vision Education. This is an exciting time to join us as we continue to grow our department and realise our vision of a diverse, inclusive and innovative department
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in the field, including the application to artificial intelligence and machine learning. We consider computer science challenges from a broad perspective. Members of the department regularly publish in
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large-scale speech and wearable data from participants in the GLAD Study cohort ( https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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have an international profile in research and education in any of the following areas: systems security, security engineering, security testing, computer forensics, AI for security and privacy, and
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, registers and other clinical studies Knowledge and practical application of various statistical packages, such as R and Python Ability to adapt and/or develop statistical and machine learning methodology
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such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses computer science challenges from a
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considered for this role, you should have: A PhD (or equivalent) in a relevant discipline (e.g., biostatistics, machine learning, computer science, clinical informatics, natural language processing). Strong
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forensics, AI for security and privacy, Security and privacy of AI. Our department addresses computer science challenges from a broad perspective. Faculty members regularly publish in and serve on the program
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application of machine learning to metamaterials modelling 2. Experience in modelling molecular interactions 3. Experience in modelling of mass transport at the nanoscale Downloading a copy of our Job