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of biological discovery. Your work will combine methodological innovation, biological discovery, and scientific software development at the intersection of artificial intelligence, computational biology, and
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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 The Department of International Studies
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AI for Biomedicine to develop next-generation computational approaches to understand how cellular and tissue biology shapes human disease. Your mission As Postdoc in AI for Biomedicine, you will
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develop computational methods that connect human genetic variation to biological function. Using population-scale human genetics together with single-cell, spatial, and multimodal molecular data, you will
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Southern University of Science and Technology, School of Medicine | China, Nuevo Leon | Mexico | about 20 hours ago
-education-research-industry' collaboration with its affiliated hospitals, teaching partner hospitals, and research cooperation bases. For more information, please visit: https://med.sustech.edu.cn/en
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materials enable sustainable approaches to energy harvesting, neuromorphic computing, and biosensing, with demonstrated potential for high-impact studies (Nature 578:550; Nature Communications 13:4369; Nature
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Position Description The Centro de Investigación en Matemáticas (CIMAT) (https://www.cimat.mx/ | https://www.cimat.mx/en ), located in Guanajuato, Mexico, invites applications from researchers in
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in laboratory management. The job description may be changed during the contract period or upon contract renewal to the extent described above. Please see the following website: https://www.riken.jp/en
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motivated researchers who are eager to help build and shape a new research program from the ground up. The group offers a broad range of theoretical research topics, including quantum machine learning
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transform bold scientific ideas into advances that improve human health. Within this mission, the Health Data Science Centre develops advanced computational and machine learning approaches to analyse complex