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. General description of the DDLS program Data-Driven Life Science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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data networks) with virtual applications (i.e., artificial intelligence and ecological modelling). The goal of this PhD is to develop epidemic forecasts for marine invasive species in European coastal
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based on DNA sequencing, expression analysis, proteomics, metabolomics, image analysis, bioinformatics and artificial intelligence. The goal is to make it possible for Swedish researchers to analyze on a
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in collaboration with colleagues in different fields – Diligence, initiative and an interest in supporting Swedish research in Artificial Intelligence and data-driven life sciences Personal suitability
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an interest in supporting Swedish research in Artificial Intelligence and data-driven life sciences Personal suitability will strongly affect the recruitment for this position. About the employment
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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artificial intelligence are used to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg
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, structural biology, and artificial intelligence. Share your research findings through scientific publications and conferences. As a PhD student, you devote most of your time to doctoral studies and the
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uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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, computer science, statistics, artificial intelligence, data analytics, biomedical engineering or allied subject areas. Research expertise in statistics, machine learning, deep neural networks, time-series analysis