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appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers to lead or contribute to large
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high-throughput workflows, including single-cell proteomics. It operates state-of-the-art instrumentation and advanced data analysis pipelines within the multidisciplinary ecosystem of Human Technopole
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methodologically suitable analysis strategies to planned investigations; Jointly with the two PIs in the group, scientifically supervising PhD and masters’ students and overseeing post-doctoral research activities
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implement methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers
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, natural language processing, social network analysis · Business Intelligence & Digital Transformation: data mining, digital finance, supply chain management · Intelligent Management & Decision Sciences
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. Preferred Qualifications: Experience conducting substance use or behavioral health research. Strong scientific writing and oral presentation skills. Proficiency in data analysis software (e.g., Stata, R, SPSS