114 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Nature Careers in United States
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of resistant cell lines) and in vivo experiments using xenograft, syngeneic and genetically engineered mouse models of KRAS-mutant lung cancer. Candidates with prior experience in computational biology will
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Postdoctoral position to study Polo kinase and centrosome abnormalities in cancer and other diseases
the centrosomal architecture and function, the deregulation of which can lead to the development of various human diseases, including cancers, microcephaly, and AIDS. For additional information, please visit https
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the fields of synthetic biology, immune cell engineering, protein engineering, and immunology, with an eye towards clinical translation. Postdoctoral fellows will gain extensive experience with cutting-edge
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
in mentoring and shaping the lab's interdisciplinary culture. We Are Looking For Someone Who • Has a PhD in computational biology, microbiology, systems biology, engineering, physics, CS, or a related
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reprogramming event and its role in cell transformation. The lab leverages genetically engineered mouse models, patient-derived xenografts, human and mouse tumor and primary cell lines as well as human induced
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Postdoctoral Fellow in innate immunity Employer: Mount Sinai School of Medicine Research lab: Teunissen lab Institute Biomedical Engineering and Imaging Institute PI: Dr. Abraham Teunissen Location
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referees to r.jin@uci.edu . Apply link: https://recruit.ap.uci.edu/JPF10029
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Postdoctoral Fellows to join a dynamic, fully funded research program investigating how environmental exposures and inflammation drive hematopoietic stem cell dysfunction, clonal hematopoiesis, and the
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status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and
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Article) PMID: 23811687 Nature Cell Biology 13: 310-316 (2011) (Cover Article) PMID: 21336310 Molecular Cell 37: 668-678 (2010) (Cover Article) PMID: 20227371 Lab website: https://www.med.upenn.edu/apps