24 development "https:" "https:" "https:" Postdoctoral research jobs at Nature Careers in United States
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Lab at Princeton University aims to recruit a postdoctoral fellow or more senior research position to work on projects related to the development of AI/machine learning approaches for chemical and
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to understand how the environment drive pathogenic T cells. The goal is to develop novel therapies for systemic lupus erythematosus and other autoimmune diseases and deliver them in first-in-human studies at UTSW
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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
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. Available research opportunities include development of microfabrication processes and novel devices, advancing transduction principles and their fundamental limits, and development of precision sensing and
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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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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
recurrent gene fusions (ESR1-CCDC170, BCL2L14-ETV6, RAD51AP1-DYRK4) and intragenic rearrangements (IGRs)—a largely unexplored class of genetic aberrations. Precision immuno-oncology: Develop next-generation
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and career development resources through the Office of Scientific Career Development and the Student/Postdoc Advisory Committee. More information about the lab can be found at https://rasilab.github.io
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development of blood and prostate cancers. Our research bridges basic, translational, and clinical studies to uncover mechanisms linking inflammation, DNA damage, and stem cell aging to cancer initiation and
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the mission to examine the contribution of somatic mosaicism in healthy human brain development and in neurologic diseases and collaborates with the Huang lab for the analysis of their high throughput genetic
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are found. The successful candidate will develop and apply computational approaches to mass spectrometry-based metabolomics datasets, with discovery of unknown metabolites being a major focus. The laboratory