15 computational-"https:" "https:" "https:" "https:" "https:" "Inria" Fellowship positions at City of Hope
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through cutting-edge research. The Nath Lab is seeking highly motivated applicants for a postdoctoral position in computational oncology, artificial intelligence, and data science. Our research program
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cutting-edge research. The Department of Diabetes and Cancer Metabolism at City of Hope is seeking a highly motivated Postdoctoral Fellow in Computational Biology/Bioinformatics to join an NIH R01
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through cutting-edge research. The Nath Laboratory is seeking highly motivated applicants for a postdoctoral position in computational oncology and data science. Our research program aims to advance
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genomics, molecular biology, cell biology, immunology, and in vivo model systems. For more information about Dr. Zhaohui Gu’s lab, please visit: https://gu-lab.net and https://www.cityofhope.org
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software (Word, PowerPoint, Excel, databases) and basic statistical principles Additional Information: · For more information on nPOD please visit here : https://npod.org/ · For
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our ReCord Study ( https://record.umn.edu ). Qualifications Your qualifications should include: · Ph.D. degree in genetics, genetic epidemiology, biological sciences, or a related discipline is
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. Expertise in using mouse models to study metabolic diseases is preferred. For a complete list of Publications please visit here: https://www.ncbi.nlm.nih.gov/myncbi/1J54E41I5YVku/bibliography
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pressures that favor epithelial cells harboring somatic mutations commonly associated with breast cancer. This work will integrate computational modeling with experimental cell and tissue biology to
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multidisciplinary research integrates molecular biology, pharmacology, genomics, computational biology, and translational oncology to identify actionable signaling networks and develop predictive biomarkers that
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computational method development, data analysis, and experimental design. Integrate information from high-throughput screens, proteomic data, and next-generation sequencing data to generate and