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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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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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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
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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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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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leverage computational methods, statistical models, and machine learning to dissect and interpret vast datasets to uncover novel insights that can lead to improved treatment strategies. Key Responsibilities
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for radiological breast cancer diagnosis. Our group has expertise in radiology, biostatistics and machine learning. In addition, we have a strong collaboration with research groups at KTH. Our international
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leverage computational methods, statistical models, and machine learning to dissect and interpret vast datasets to uncover novel insights that can lead to improved treatment strategies. Key Responsibilities
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with machine learning methods will be prioritized. Successful applicants will have the opportunity to work in a stimulating and collaborative environment with state-of-the-art infrastructure. The Lopez
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of analyzing clinical data. Documented scripting experience (i.e., Matlab, R). Statistical modeling and machine learning techniques. This is a fixed-term contract for up to two years. What do we offer? A