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Field
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Systems and Engineering Center (PSEC) at NLR is looking for an exceptional Ph.D. graduate to support research in the modeling and simulation of the modern power grids, while the power grid is transitioning
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and technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will conduct comprehensive supply chain mapping, modeling, and analysis—integrating
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. The ideal candidate will have a strong background in biological nitrogen fixation and microbial strain engineering of nitrogen-fixing model organisms. This role offers a unique opportunity to conduct high
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division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation of dynamical systems. However
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to Umeå Marine Sciences Centre and the Department of Ecology, Environment and Geoscience, supported by multidisciplinary teams with complementing expertise in marine biology and AI-driven modelling and
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About the role We are seeking an outstanding candidate to work in the Process Dynamics group to contribute to advanced research in AI-driven X-ray imaging for metal alloy solidification
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of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an outstanding postdoctoral researcher to advance data-driven, physics-informed AI for microelectronics materials
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, particularly by providing expert advice in AI/ML-driven materials chemistry. This post will suit an ambitious individual motivated to produce step-change advances in new materials discovery and synthesis by
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27 Feb 2026 Job Information Organisation/Company Fondazione Bruno Kessler Department Unità People Innovation Research Field Technology » Computer technology Researcher Profile Recognised Researcher