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Sciences are Turing fellows. The Erlangen programme offers excellent opportunities for collaboration with a large team of scientists interested in the foundational issues of Artificial Intelligence and Deep
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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Wellcome-funded project exploring the changing authority of medical practices through four case studies: LGBTQ+ health, artificial intelligence, abortion care and the physician associate. The project is
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Sciences are Turing fellows. The Erlangen programme offers excellent opportunities for collaboration with a large team of scientists interested in the foundational issues of Artificial Intelligence and Deep
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Group. The role will provide an opportunity to work across multiple projects within the realms of Artificial Intelligence and Digital Screening. The role holder will collaborate with cross-functional
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postgraduate-level research in Computer Science, Cybersecurity, Information Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, have experience with securing AI
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postgraduate-level research in Computer Science, Cybersecurity, Information Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, have experience with securing AI
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: Autonomous Systems and robotic platforms Agricultural Robotics and precision agriculture technologies Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. The researcher will work with Dr. Martin Widmann, Dr. Ruth Geen and Prof. Gregor