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. The following experience will strengthen your application: industrial product development or manufacturing research modelling and simulation, digital twins or digital threads AI, machine learning
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(R2) Positions Postdoc Positions Application Deadline 15 Sep 2026 - 15:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Nov 2026
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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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, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
, supportive environment that fosters learning and professional growth. Job requirements Hold a PhD degree in a relevant field (e.g., Transportation, Human-Computer Interaction, Computer Science, or a closely
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 23 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Goodman How to Apply A complete application consists of: An application, including academic history, work
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. Geometric or variational approaches to partial differential equations. Differential, metric, or algebraic geometry. Invariant theory or symmetry-based methods. Geometric data analysis. Scientific machine
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits. The position will combine techniques from geological modelling, geostatistics, machine learning, and
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physics, nuclear astrophysics, quantum sensing, machine learning, gravitational waves, and particle theory and experiment. Faculty members include Professors Weiping Liu, Jie Chen, Sebastian Garcia-Saenz