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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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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
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, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with
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learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 60 nationalities represented in our workforce · Diverse
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learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 60 nationalities represented in our workforce Diverse and inclusive work