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venues. • Publications in Nature Portfolio, Science family journals, or comparable high-impact multidisciplinary journals will be considered a strong advantage. • Hands-on
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-flow security, program logics and neurosymbolic AI. The project is exceptionally well-resourced, including substantial funding for access to state-of-the-art AI models and computing infrastructure. We
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tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better
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. The successful candidate will primarily lead computational and bioinformatics studies within the lab and will have opportunities to develop new analytical approaches, publish high-impact research, collaborate with
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are tackling global health issues and striving to improve equity in communities both locally and around the world. We are seeking a Senior Research Fellow who will lead a research program on misleading medical
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 7 hours ago
structured learning opportunities in regulatory science and computational modeling applications in drug development and use of artificial intelligence for data mining. You will gain experience in regulatory
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The Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and
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://www.ntu.edu.sg/cceb) The Huiling Shao (Asst Prof) research group aims toward computational design of new organometallic catalysts and peptide drugs via: 1. Comprehensive mechanism elucidation via
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description • Culture and maintenance of cellular models
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About the Role We are looking for a Senior Computational Biologist to join the ERC-Synergy funded MUTAHOME project, a multi-institutional collaboration between Queen Mary University of London and