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Research Associate (PDRA) as part of a British Heart Foundation Project Grant: “Artificial Intelligence to Improve the Diagnosis of Acute Cardiac Conditions in Clinical Practice,” led by Dr Dimitrios
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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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area of ICT can be considered, but priority is given to candidates who support one (or more) of the HIIT strategic focus areas : Artificial Intelligence Computational Health Cybersecurity Data Science
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commercialisation activities. A world-class, multidisciplinary research environment spanning optics/photonics, nanotechnology, artificial intelligence (AI), and clinical medicine. Fully equipped laboratories
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. We have a programme of additional support for women in AI in Science including additional funds for their career development and a community of I-X AI in Science women. The I-X Women in Artificial
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skills and attributes for success: A PhD (or equivalent) in a relevant subject (Artificial Intelligence, or Data Science), with training or skills relevant to the project (Python-based data collection and
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, our strength in methodological rigour, artificial intelligence, and our contributions to methodological developments are also part of our research strategy. Duties of the Role We wish to appoint a
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highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to predict the impact of mutations on genes in the avian flu virus and the viral host which
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binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families
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to lead device commercialisation activities. • A world-class, multidisciplinary research environment spanning optics/photonics, nanotechnology, artificial intelligence (AI), and clinical medicine