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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 10 hours ago
products including blood, vaccines, allergenics, tissues, and cellular and gene therapies. Research Project: The fellow will contribute to the development of novel scientific, bioinformatics, and AI/machine
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leading centres for African Studies. Working under the supervision of Professor Rita Abrahamsen (Chair of African Studies), the successful candidate will develop and pursue an ambitious and original
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–dielectric–metal resonator platforms. The project develops hyperuniform disordered metasurfaces, a novel class of photonic structures in which structural correlations are precisely controlled to achieve
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. The Research Fellow will lead projects, method development, routine analysis and provide strategic advice on GC/MS research infrastructure to expand the types of mass spectrometry capabilities within the BMSF
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Matt Keeling and Professor Mike Tildesley as part of the Zeeman (SBIDER) institute. The work is funded by DEFRA as part of an EEID (Ecology and Evolution of Infectious Diseases) collaboration between
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Synthesis Group programme, conducting research which supports a range of UK policy stakeholders. There will also be scope to develop HTA methods and opportunities to develop their own research proposals and
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Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
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. The goals are to develop a greater understanding of basic mechanisms of immunological protection versus pathology, and to apply this knowledge to the development of interventions and the identification
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social sciences, enabling them to develop strong, independent research portfolios while contributing to the College's research, teaching, and intellectual life. Key Responsibilities: Fellows will be
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is to define how inherited variation influences gene regulation, tumor evolution, and clinical cancer phenotypes towards the ultimate goal of earlier cancer detection and improved prevention strategies