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positive impact through cross-disciplinary interactions. Actively seeking new funding and creating opportunity for spinouts. Working towards real-world outcomes. Integrating large-scale data, AI, and
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, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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metabolism or biomedicine, including the analysis of large-scale structured or unstructured health or biological data, such as electronic health records or biobank datasets, again ideally with publications
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analyses using statistical software, such as SAS, R, and others. Participate in group meetings and work collaboratively on larger projects with other group members. Generate data for figures and tables
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analytics. Virtual screening and efficacy testing using AI-driven approaches to identify promising drug candidates from large chemical libraries. (Retro)synthesis planning using AI to propose feasible
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Rare Diseases. This faculty opening will be valid for an extensive period of time. For more information about SMART&PI, please visit our official website：https://smart.org.cn/. Qualifications A PhD
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strong background in computer science and bioinformatics analysis of large datasets. The applicant should be highly self-motivated and have a track record of publications (first-authored publications in
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lung and other malignancies, affording access to patient samples and large tumor databases. Specific research areas of interest include development of optimized strategies for efficient and specific