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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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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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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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-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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in biological aging and proteomics. Familiar with ways of measuring aging. A keen interest in data-driven research and interdisciplinary science, including bioinformatics, systems biology, machine
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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