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transition. This ambitious goal will be achieved by developing advanced experimental and computational tools to characterize e-fuel combustion processes, optimize fuel-flexible technologies, and integrate
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-efficient computing? Do you want to contribute to cutting-edge research at the intersection of systems and control theory, optimization, circuit theory, and neuromorphic computing? The University of Groningen
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renewable energy engineering, power systems and energy market integration, stochastic multi-objective optimization, and data‐driven control methodologies) the project will establish a robust framework for
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self-driving laboratories (SDLs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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employ cellular and molecular approaches, stem-cell-derived models, gene editing, and disease-relevant experimental systems to investigate vascular regulation of tissue repair and therapeutic regeneration
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Status: Nonexempt This position is NOT eligible for Visa sponsorship Summary The candidate that fills this position will be operating an Aurora CS cell sorter for customer experiments and will provide
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of human microbiomes in endometriosis.” - The research project aims to develop and characterize 3D tissue models based on collagen and other hydrogel matrices to investigate cell-matrix interactions and
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postdoctoral position focused on the development of a novel vertex detector concept for FCC-ee. The successful candidate will contribute to detector prototype testing, detector simulation and optimization, and
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. This includes large-scale computational mechanics of energy structures, data-driven mechanics, reduced-order modeling, structural optimization, life-cycle analysis, multiphysics modeling of energy materials, and