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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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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
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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
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equivalent in scientific data analysis, data science and machine learning , biomedicine or bioinformatics Skills in bioinformatics (Python, R or others) and biostatistics (SPSS, STATA etc.) Specific knowledge
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Institutet and Science for Life Laboratory in Stockholm. As a PhD student in our lab, you will gain broad knowledge in the field of 3D genome biology and learn to independently design, perform, and critically