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Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer genomics. The position
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for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer genomics. Emphasis will be placed on rank-based models and their successful use in
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, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and ´omics data, as well as processing of neuroimaging data from relevant datasets
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Medicine consists of 6 research groups, and a total of about 60 employees. The research profile of the Institute is to combine clinical medicine and molecular biology to establish a bridge between bench and
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Develop and apply machine learning techniques and statistical analyses, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and
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this project, we will combine novel artificial intelligence techniques with classical cross-species research models including C. elegans, mice, and human cell culture, and postmortem human brain tissues