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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Posting Information Posting Details Department Physics and Astronomy - 319000 Posting Open Date 08/01/2025 Application Deadline Open Until Filled No Position Type Postdoctoral Scholar Position Title
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modelling across different depths of human evolutionary history, building on methods published in Speidel et al, Nature 2025 and application to new large-scale modern and ancient genetic data. - Developing
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opportunities, outdoor recreation and Big Ten sporting events. Learn more about Iowa City and the Department of Internal Medicine by watching the video: https://medicine.uiowa.edu/internalmedicine/about-us/why
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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required Working knowledge of all aspects of planning and deploying an AI project, including initial problem specification, data gathering and analysis, model creation, and implementation Strong
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data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinson’s disease, and other
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
position is part of the NWO-funded EmPowerEd project , a large consortium led by the TU Eindhoven . The aim of this project is to "Enable Positive Energy Districts through citizen-centred socio-technical
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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) at Rutgers University invites applications for a research scientist position, who will work with Dr. Ahmed Aziz Ezzat at ISE to support a project of designing data-driven models for large-scale atomistic
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class of medicines. However, progress in this area has been limited by the absence of high-quality, large-scale protein¿peptide interaction datasets critical for rational, AI-driven peptide design. To