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of innovation and scientific progress, 3) prediction of future breakthroughs and fields. The successful candidate will process and analyze data from large bibliometric repositories and help build models
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, (poly-)genetic risk prediction, pleiotropy analysis, and Mendelian randomization. Previous experience working with large-scale biomedical datasets (e.g., RNA-seq, ChIP-seq, single cell-seq, ATAC-seq
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evaluating experiments for research focused on new AI and machine learning tools for the diagnosis, prognosis and prediction of treatment response for a number of types of cancer and other diseases
Searches related to ensemble prediction
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