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for existing medications, a strategy that can significantly reduce the time and cost required to bring a drug to market. The project will use AI models such as CycleGANs, that by learning from complex spatial
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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the five faculties of Biology and Psychology , Chemistry , Geoscience and Geography , Mathematics and Computer Science , and Physics . These faculties are closely cooperating with the University Medical
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will be conducted within the Machine Learning Research Group at the Department of Computer Science and Communication, in collaboration with Østfold Hospital Trust, and will focus on developing novel
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maintain normal rhythm. Although no medical background will be assumed, the successful applicant will have the unique opportunity to combine analytical and experimental work, through interacting with both
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aerospace, healthcare, and industrial automation. In safety-critical domains, such as aviation and medical devices, rigorous certification processes and continuous lifecycle monitoring are essential to ensure
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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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communication skills in English. Strong affinity with philosophy of science and scientific methodology. Expertise on, or a strong interest in medical science as application domain. Working knowledge
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: a state of the art workplace located at the heart of the medical campus in close proximity to clinics and other research institutes a diverse and international team eager to approach diverse questions
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medical education, research, clinical practice, community engagement and the development of better prevention and public health policies in rural and remote areas. This position will act as a project