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and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We
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translational and scalability considerations. Responsabilities: Lead the development of hybrid foundation model–graph neural network architectures for gene perturbation prediction, including the design and
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initiatives focusing on: Next-generation energy storage systems Power converter design for Power-to-X (PtX) solutions Microgrid applications Quantum computing in power systems And other emerging technologies in
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, to work proactively with other lab members and mentor junior lab members to help them learn new techniques, experimental design, and analysis, and supporting the lab by actively working to maintain a
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Carnegie Mellon University. The position is available immediately and must be filled by July 1, 2026. The successful candidate will contribute to cutting-edge research in the design, fabrication, and testing
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innovation that can only be achieved by approaches beyond disciplinary boundaries.
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processing and integrating massive multi-omics datasets from clinical cohorts. Key Responsibilities: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised
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science communication. This position will work on designing and deploying creative informal education resources aimed at increasing quantum awareness among learners of all ages. The position will primarily
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years This role will contribute directly to drug discovery efforts through the design and synthesis of small-molecule inhibitors. The postholder will use structural, biochemical and microbiological data
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will contribute to the NCCR Separations . Your tasks Development of an advanced testing infrastructure for sorbents and processes in DAC: Planning, design and implementation of novel infrastructure