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algorithms, clinical decision support systems, and population health management platforms. Evaluate emerging technologies in clinical informatics and provide strategic recommendations for their adoption within
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visit here . As a successful candidate you will: · Focus on metabolic regulations of cardiovascular disease under cancer treatment and metabolic syndrome · Utilize multiple cutting-edge
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interest in methods development Experience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing
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or externally. Ability to work in a fast-paced team environment and handle multiple projects simultaneously. Your qualifications should include: Ph.D., MD, or MD/Ph.D., with a strong background and profound
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clear data presentation, ability to work efficiently in a team and with collaborators Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage Previous
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), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious
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and excellence as documented by peer-reviewed publications. Ability to work in a fast-paced research environment and manage multiple projects and collaborations. Strong team player with excellent
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multiple prestigious awards, including the NIH MERIT Award, Mathers Foundation Award, V Scholar Award, MRA Young Investigator Award, and ACS Catalyst Award, among others. Ideal Candidate A recent or upcoming
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. Multiple translational clinical studies seek to address these themes through our collaborators in the Royal Marsden. Overall, our mission is to cure more patients with fewer immediate and long-term side
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imaging techniques and/or behavioral testing in rodents is advantageous. It is an advantage to have expertise in genetic cell tracing techniques. Experience in managing mouse colonies with multiple