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in artificial intelligence (AI) to join our growing biomedical innovation team. In this pivotal role, you will lead and contribute to the design, development, and deployment of machine learning
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Do you want to contribute to improving human health? Computational methods and artificial intelligence on large-scale molecular data are transforming the study of biological systems at all levels
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), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and application
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. Project description: DDLS Fellows 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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research on precision medicine, such as the use of computational tools to integrate molecular and clinical data for translational research and diagnostic development, thereby facilitating individualized care
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infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data
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care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and application of novel data-driven
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, the Faculty of Science and the regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources
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, amplifying our global impact, accelerating innovation and maximizing scientific progress and societal benefit. The SciLifeLab Fellows Program The SciLifeLab Fellows program is a shared initiative since 2013
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developing computational methods, analyzing complex datasets, and contributing to integrative omics efforts in close collaboration with researchers from various disciplines. The roles offer significant