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to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes
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the following tasks associated to the Pro-PTES project: Development of simulation models of CSP-PV hybrid plants with PTES integration. Development of neural networks for system optimization. Selection and sizing
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technical background and a passion for practical work with integrated photonic devices. Key Responsibilities: Development and optimization of Photonic Packaging technologies (e.g. die bonding, wire bonding
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that the context of this call is linked to the CEMI project, the completion of which is scheduled to end in September 2028. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/007712
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to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes
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, insights into mRNA decay mechanisms will enable development of optimized mRNA-based therapeutics like mRNA vaccines. Recent publications include: Höpfler et al., Mol Cell, 2023 Höpfler & Hegde, Mol Cell