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. - Experience with data mining and predictive analytics - Strong proficiency in data analysis tools such as SQL, Excel, Tableau, Power BI, or similar. - Excellent analytical and problem-solving skills. - Strong
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novel process mining techniques, including but not limited to sequence analysis, soft clustering, temporal data analysis, and graph neural network predictions, to answer client’s questions related
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, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as
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