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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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of four years of full-time doctoral education is required. One Ph.D. position is available in cancer precision medicine using advanced machine learning methods and AI methods on large-scale data
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We have incubated human adipocytes with different hormones, fractionated them and studied the protein composition of these samples using mass spectrometry. By applying machine learning algorithms
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these using a unique liquid handling robotic platform, stain cells with antibodies and acquire data by high-dimensional spectral cytometry, single-cell mRNA-sequencing, and plasma protein analyses. The lab is
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. Skills and personal qualities You should have knowledge of programming, computer science, machine learning and basic understanding of biology. Du should have good skills in planning and documenting your
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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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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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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