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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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consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in
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. Previous work experience in big data analysis, managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation, and with related track records
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frameworks (MOFs) and their composites using sustainable alternatives, such as waste and industrial by-products. The synthesized materials will subsequently be applied in catalysis and adsorption in large
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candidate will be a member of a large multi-disciplinary team working on UPLiFT’s Physics work package (others include the development of IFE lasers and implosion targets). At plasma conditions such as those
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candidate will be a member of a large multi-disciplinary team working on UPLiFT’s Physics work package (others include the development of IFE lasers and implosion targets). At plasma conditions such as those
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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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: Experience combining large clinical and research data sets. Interested and comfortable working with pediatric patients with special needs. A track record of publications in relevant fields. Required
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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on designing and running large-scale online behavioral experiments. The postdoctoral associate will work collaboratively with PIs and other postdoctoral scholars at UC Davis, Princeton, and CUNY