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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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back boundaries and set a course for the future – a future that you can help to shape. The Faculty of Medicine and Health Science/Vaccine & Infectious Disease Institute at the University of Antwerp is
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will be highly collaborative, and you will have the opportunity to learn from our highly supportive and skilled research group. The project will be primarily supervised by Prof Laurie King
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contact Prof. Pedro Cardoso-Leite at Your profile Academic background and experience: A Master's degree in one of the following domains: Computer Science (with a focus on AI), Data Science, or related
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well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and
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and the Study of Religion Psychology and Educational Sciences Cultural Studies Languages and Literatures Social Sciences Mathematics, Informatics and Statistics Physics Chemistry and Pharmacy Biology
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, and virology. The research is essentially of fundamental nature, but with relevance and application in health and disease in both animals and humans. More info: Research – Uppsala University Data-driven
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stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad
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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production