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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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-house sequencing machines, processing of sequencing data, including running the computational tools in the lab for systematic de novo capturing of splicing patterns and mapping to cell types. We are also