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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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of four years of full-time doctoral education is required. The research group Join us in advancing precision cancer medicine! Our lab is pioneering deep learning models of the molecular networks within
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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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looking for candidates who are interested in the molecular modulation of neural circuits responsible for learning and memory. The lab’s research focus is to uncover experience-driven protein signaling
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modulation of neural circuits responsible for learning and memory. The lab’s research focus is to uncover experience-driven protein signaling mechanisms in the mouse brain by developing new technologies
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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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student This doctoral research project focuses on decoding the regulatory grammar in the RNA that control cell-type specific alternative splicing. Deep learning models are making great advances in society
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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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in English and be able to communicate orally and read scientific literature. We appreciate if you are flexible, adaptable and willing to learn and also test new tools and perform troubleshooting