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companies. Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets
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, such that other team members can teach and support them Desirable: Having taken courses on soft matter physics and/or chemistry with good scores Experience in research on liquid crystals, elastomers and/or
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
systems and microgrids - Battery energy management systems - Renewable energy integration - Control systems - Artificial intelligence or machine learning for energy applications Experience and skills
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the AIM-PACE project, which aims at developing a new generation of safe-and-sustainable-by-design, bio-based and circular plastics by combining AI, microbial technology, computer modelling, and polymer