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researcher to work with Dr. David Marlevi and co-workers on the use of machine learning and physics-informed analysis for improved hemodynamic risk prediction using four-dimensional flow magnetic resonance
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for healthcare. Our group has expertise in radiology, biostatistics, and machine learning. In addition, we have a strong collaboration with research groups at KTH. Our international collaborations include
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medicine strategies for improving diagnostics and treatment of prostate cancer. The research spans world-leading data sources, innovative clinical trials, cutting edge genomics, machine learning and
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of the subject area The predictive medicine group is focused on application of machine learning and AI for development and validation of predictive models for biomedical applications, with a particular interest in
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Do you want to contribute to improving human health? Decscription of the researchgroup Our lab is advancing precision cancer medicine through deep learning models of the molecular networks within
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Do you want to contribute to improving human health? Our lab is advancing precision cancer medicine through deep learning models of the molecular networks within cells. The models encompass
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trials, cutting edge genomics, machine learning and artificial intelligence. The doctoral student project and the duties of the doctoral student The work aims at improving prostate cancer care by
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Institute to develop and train machine learning algorithms for text categorization (Natural Language Processing) and image interpretation. Your primary task will be to create algorithms capable
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biology and machine learning to study RNA life? Come and join us at SciLifeLab. Your mission The available postdoctoral position concerns developing and applying novel genomic approaches to study eukaryotic
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Do you want to contribute to improving human health? Division Do you want to contribute as a post-doctoral researcher analyzing machine-learning approaches to detect and diagnose breast cancer in