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blotting), and diverse modalities of optical microscopy and radiologic imaging. Candidates who demonstrate scientific curiosity, passion for research, and deep knowledge of the research literature will
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to define how RecQ helicases maintain genome stability to limit premature aging and cancer development. These projects will benefit from access to cutting-edge mass spectrometry, imaging, screening and
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into differentiation protocols, reagents, and media Tissue and organoid imaging & molecular analysis Developed new protocols and/or analysis methods Organizational capabilities Provides a structured approach for
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resistance, leveraging cutting-edge computational biology, state-of the art imaging technologies, mouse and patient-derived models. Basic education, experience and skills required for consideration: PhD in
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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to be tested, modified, and improved during the project. The seafloor survey will image the scarps of active faults to understand the faults surface expression at different depths. The output will be 1
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management support, with concrete prototype, by analyzing and understanding data through models—both static and dynamic representations that capture the knowledge and behavior of a physical system. The role
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repair. The research group study the biological functions of quadruplex DNA structures in the genome by using a variety of biochemical, biophysical, imaging, and molecular biology methods, and has access
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brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26
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to formalize a biological question into a computational model. Merits: Computational genomics, medical statistics, computational biology and/or imaging analysis. Experience with NGS (10x platform, Smart-Seq