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/~wwang7 . Position Title: Postdoctoral Fellow in Cancer Computational Biology Program/Position Description: Analyze next-generation sequencing (NGS) data, including: Develop computational and statistical
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. The ideal candidate will have expertise in cancer genomics and/or functional genomics, paired with strong computational and statistical training, and will be excited to lead independent projects
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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. Located in
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Conduct preliminary data analysis under statistical guidance o Participate in interpretation of study findings • Academic Productivity o Lead and/or contribute to abstract submissions for national
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. This project will involve applying and evaluating statistical and machine learning models for data integration and interpretation. A strong foundation in statistical modeling will be essential for applications
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involved in the bioinformatic and analytic aspects of predictive modeling. MINIMUM JOB QUALIFICATIONS: A Ph.D. in bioinformatics, genetics, statistics, mathematical, physical, or computer science
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, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field. * Strong background in deep learning (e.g., CNNs, transformers) and familiarity with emerging techniques for reasoning and
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, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field. * Formal training in Clinical Informatics, Bioinformatics, or a related field * Prior experience with AI in healthcare
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) in bioinformatics, epidemiology, statistics, or a closely related field, awarded before the fellowship decision date. Documented experience in research projects within the scope of the awarded degree
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seminars focused on health policy and statistical methods for causal inference, access to diverse national data sources, and analytic support. Based on interests identified at the time of application