506 data-"https:"-"https:"-"https:"-"https:"-"Inserm" Fellowship positions in United States
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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computational methods for cancer pangenomics using long-read sequencing data. Through TGen's Collaborative Sequencing Center (CSC), we have access to in-house PacBio Revio and Oxford Nanopore PromethION platforms
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products. CDRH provides consumers, patients, caregivers, and providers with understandable and accessible science-based information about products. CDRH facilitates medical device innovation by advancing
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candidate, you will: · You must have experience with flow cytometry, molecular biology techniques, cell culture, microscopy, tissue processing, immunohistochemistry, immunofluorescence, data analysis
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(including full contact information) 2. At least two letters of recommendation 3. Copies of published research papers 4. Statement of research Contact Information Emmy Ceballos 150 Western Avenue, SEC 2.401
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surrounding building such an experimental toolkit; from the ultrafast optics to the spatial resolution and statistical data analysis. Basic Qualifications PhD in Physics, Chemistry, Biology, Mathematics and
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of SGLT2 inhibitors using mice models of kidney diseases. Contributing to the development of uremic toxin measurements in mice and human. Collaborating with faculty and staff on research design, data
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, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Additional Qualifications Special Instructions Application
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of the following: chronic neural recordings in freely behaving animals, high resolution behavioral tracking, optogenetics, and data analysi.. All candidates must have received a Ph.D. in a relevant
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sustained research trajectory in addiction health services research and policy evaluation. Responsibilities Design and execute advanced quantitative analyses using large secondary administrative health data