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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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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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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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leverage computational methods, statistical models, and machine learning to dissect and interpret vast datasets to uncover novel insights that can lead to improved treatment strategies. Key Responsibilities
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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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currently establishing using various approaches. Finally, you will work alongside computational scientists in our group as well as with our international collaborators to train and validate a machine learning
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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