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on genetic cardiomyopathy, particularly hypertrophic and arrhythmogenic cardiomyopathy subtypes. We utilize both iPSC-derived cardiomyocyte and mouse models. We generate gene-edited, reporter knock-in, and
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, optimise, and design experiments using lab-scale bioreactor systems. You will generate the high-quality biological datasets required to train the biological layer of a digital twin, a computational model
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, or engineering of AI models or methods and their applications in cognitive science. The AI Postdoctoral Research Fellow joining the NAM initiative will contribute to one or both current core projects, "Explanation
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publications. Preferred Qualifications PhD and at least one year of experience with bioassays. Prior experience in biological evaluations with animal models, as well as strong verbal and writing communication
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, hybrid models, bio-inspired approaches, multi-agent systems Experience with real-time or embedded systems, prototyping, open source development All candidates and projects will have to undergo a check
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the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - collaborate in the development of new communications solutions for extreme environments; - contribute to co
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. Experience in mouse modeling in cancer and flow cytometry is also highly desired. The Department of Radiation Oncology at the University of Michigan has pioneered preclinical radiosensitization strategies
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applicants will have experience in cellular and molecular biology. Experience in mouse modeling in cancer and flow cytometry is also highly desired. The Department of Radiation Oncology at the University
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advanced transgenic models. This role offers you the chance to shape emerging research directions, contribute to high-impact publications, and mentor the next generation of scientists. Your responsibilities
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applying increasingly sophisticated AI technologies to develop practical, responsible and scientifically credible solutions. Building on recent innovations in Generative AI and large language models, you