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group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups at KTH, at KI, and internationally within two EU projects and a new collaboration
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of the doctoral student The PhD project will aim at integrating single cell clonal, spatial and dissociated cell transcriptomics data for 3D neurodevelopmental reconstruction using a machine learning approach and
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collectively offer expertise in computational biology, genetics, epidemiology, and machine learning. The research will be closely linked to the WISDOM project, an EU-funded initiative coordinated by the main
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us, and others, to learn the inner secrets of biological system at a significantly faster rate. The PhD student will need to actively contribute and innovate to the development of this technique and
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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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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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-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb This PhD program is part of
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this deadly disease. Specifically, the student will develop and apply sensitive methods for MS-based analysis of clinical lung cancer samples. Further, the student will apply machine learning methods
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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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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