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Centre. About the Charpentier Group: The Charpentier group focus on understanding the calcium signalling network controlling endosymbiotic interactions between soil microbes and crops. The overall aim
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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for the protein-membrane and protein-protein interactions required for the PA phosphatase function of catalyzing the dephosphorylation of PA to produce diacylglycerol. The ultimate goal is to identify effector
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emphasis on controlling coherent spin-spin interactions. In addition, the ideal candidate will develop new quantum sensing protocols leveraging coherent spin dynamics in high-field and low
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and in vivo models. The prospective candidate will have opportunities to work within a highly interactive, multidisciplinary team. Preferences will be given to candidates who Have some relevant research
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Support programs equity Fields of action Networks for equity Contact Team Equity News and publications Back Press releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine
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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive
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intelligent autonomous systems operating under uncertainty, limited information, strategic human behavior, and complex multi-agent interactions. The postdoc will work at the intersection of control theory
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Intelligence (AI) ethics, law and policy in medical research, education, or clinical care, to complement our growing portfolio of AI related bioethics research. However, we will consider applications from
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authentic data and the use of artificial intelligence techniques, with the long-term objective of developing automatic recognition and generation systems to animate avatars. The linguistic component, led by