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THE UNIVERSITY OF LIVERPOOL FACULTY OF SCIENCE AND ENGINEERING (SCE) SCHOOL OF PHYSICAL SCIENCES DEPARTMENT OF CHEMISTRY RESEARCH FELLOW IN ARTIFICIAL INTELLIGENCE FOR MATERIALS DISCOVERY (AICHEMY
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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from experimental systems biology assays (PMID:36217030 [Nature Biotechnology 2024 & 2023 [Journal Cover]), artificial intelligence (PMID:35411337 [Nature Machine Intelligence 2022]), genomics and
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together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI
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Harvard Medical School, invites applications for an enterprising postdoctoral fellow to advance transformative Artificial Intelligence and Large Language Model solutions in pediatric healthcare. The fellow
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Faculty of Science are looking for two researchers at the intersection of artificial intelligence, molecular medicine and health data science. There are two positions, whose profiles support one another
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(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health
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focus of the position is on application and advancement of modern artificial intelligence (AI) methods in drug discovery and development. An ideal candidate will have strong background in machine learning
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. metagenomics, metatranscriptomics), and molecular biology is essential. Experience with interspecies interactions, either in artificial lab consortia or in naturally co-dependent communities, is highly valued
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://www.qgg.au.dk/en). We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied to agriculture and