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sociology with a focus on politics, social media, and artificial intelligence. Start date as soon as possible or as agreed. Apply no later than 2025-07-21. Research focus The doctoral student’s research will
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research school. Data driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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the past ten years thanks to artificial intelligence, mainly in the form of deep convolutional neural networks. In parallel, functional analysis of tissue samples via novel microscopy techniques and spatial
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researcher to join our research team in exploring the intersection of cybersecurity and artificial intelligence (AI) with a human-centered focus. The position is shared between the Cybersecurity and Privacy
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of Sweden’s largest and most ambitious research initiatives, focusing on using data, computational methods, and artificial intelligence to study biological systems and processes. Stockholm University strives
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academic issues in IT such as artificial intelligence; Demonstrated skill in respectful, sensitive communication with people from diverse backgrounds, cultures, language, gender, and abilities; The ability
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of current academic issues in IT such as artificial intelligence; Demonstrated skill in respectful, sensitive communication with people from diverse backgrounds, cultures, language, gender, and abilities
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multiplex analysis. We will assist the computer scientists to apply artificial intelligence Machine Deep Learning models using the omics data of mitophagy to predict risk of cancer and metastasis and design
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-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human
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National Program for Data Driven Life Science (DDLS). About the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems