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of this T32 program is to prepare nurse scientists who have knowledge and skills to employ data science (DS) and/or health information technologies (HIT) in order to advance health research using innovative
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birth, only 28%* of researchers are women and only 3% of Scientific Nobel Prizes are awarded to them. That is why, for the past 19 years, the L’Oréal-UNESCO For Women in Science Programme has worked
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diverse classes of inhibitory neurons are specified and integrated into brain circuits during development. Our work bridges developmental neurobiology, disease modeling, and systems neuroscience. To do
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programme is to develop a deeper understanding of the immunology of infection, and in particular population carriage/immunity to inform the use (and development) of vaccines. Our focus is predominantly
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candidate is expected to develop a research agenda focused on one or more of these outcomes and contribute to the project’s WP1. Please contact Prof. Andersen for more information and a more detailed
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will lead and support in the development and publishing research on various topics relating to the EVA initiative to help transition to the future of transportation with electric vehicles in the state
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systems. The role involves developing scalable binary analysis frameworks, AI-driven program understanding techniques, and automated security testing pipelines for embedded MCU and SOC platforms
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environments and large data mining Extensive skills in bash and script (Perl) programming and debugging complex scripts Development and maintenance of web genome applications displaying genome features (Gbrowse
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Fellowship offers an opportunity to engage in multiple research projects involving applied science in education. This includes research-and-development initiatives and analyses of data from large-scale studies
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 17 hours ago
products including blood, vaccines, allergenics, tissues, and cellular and gene therapies. Research Project: You will participate in the development of novel quantitative approaches for benefit-risk analyses