122 engineering-computation "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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for the technology, including brainstorming and literature review. Coordinate with biopharma partners to streamline development and promote industry adoption. Participate in grant writing to secure project funding
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro
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and state-of-the-art genetically engineered mouse models. Information about the postdoctoral training program and benefits can be found at http://www.utsouthwestern.edu/postdocs . Interested individuals
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The Photonics and Optomechanics Group at the National Institute of Standards and Technology (NIST) in Gaithersburg, MD, USA is seeking multiple postdoctoral scholars to carry out research in
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Clurman lab (https://research.fredhutch.org/clurman/en.html works at the intersection of two
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benefit from participation in the UT Southwestern Postdoctoral Training Program. Information on our postdoctoral training program, benefits and a virtual tour can be found at http://www.utsouthwestern.edu
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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Postdoctoral Research Fellow - Computational Biologist Dana-Farber Cancer Institute Boston, MA Full Time Overview The Collins Genomics Lab at Dana-Farber Cancer Institute seeks a POSTDOCTORAL
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NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess