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principles into survey design and data interpretation. ● Lead data collection and statistical analysis. ● Collaborate with colleagues to refine research questions, approaches, and methods, and to publicly
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mathematics and statistics. Proficiency in machine learning or other AI methods. Proficiency in software languages, e.g. Python, R. Cloud computing (e.g. Google Cloud Platform). Experience with, knowledge
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complex data sets generated from experiments, often using bioinformatics tools and statistical methods to interpret results and draw meaningful conclusions. Publication and Dissemination: Writing and
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, and present research findings in meetings, conferences, and publications. · Collaborate with multidisciplinary teams to drive research progress and innovation. Education: PhD or MD Knowledge, Skills
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). Review laboratory methods manual, scientific journals, abstracts and other literature for information applicable to research experiments Collect, organize, analyze and draw conclusions from experimental
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variants shape the genomic landscape and clinical outcome of multiple myeloma. Blood Cancer Journal.12:85. PMID:35637217 Department Specific Qualifications Education: PhD Experience: Essential: Molecular and
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) and treatment as prevention (TasP) in populations who need it most. Training will also emphasize on: innovative state-of-the-science statistical and design methods, c.) community engagement through
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statistical software to analyze and present data Supervise other personnel in the laboratory to coordinate research efforts for increased efficiency Participate in the training of fellows, residents, students