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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational fluid dynamics (CFD), to create a dynamic, perfused system that mimics the human synovial environment. The platform will
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: effective implementation and application to computational fluid dynamics and turbulent flows. Journal of Computational Physics, 242, 623-647. [3] Maday, Y., Patera, A. T., Penn, J. D., & Yano, M. (2015). A
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural
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Tempo parcial (33 horas/semana) Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 166410 Is the Job related to staff position within a Research
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4 Dec 2025 Job Information Organisation/Company CNRS Department Architecture et Réactivité de l'ARN Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application
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Positions Country Portugal Application Deadline 15 Dec 2025 - 17:00 (Europe/Lisbon) Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Not Applicable Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number Application process: The deadline for submitting application Is
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational