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Polymer manufacturing is highly energy intensive, and achieving net zero requires more than fuel switching. This project focuses on process systems engineering for industrial decarbonisation
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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qualitative process methods (path tracing) and semi-quantitative network methods (socio-technical configuration analysis, STCA), and contribute to the project's methods development compare cases across sectors
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
on the glymphatic system, a brain-wide fluid transport network that facilitates the clearance of metabolic waste and neurotoxic proteins from the central nervous system. Growing evidence suggests that impaired
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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agentic software can change the way scientists interact with complex imaging pipelines – for example, by allowing users to formulate analysis tasks at a high level while software agents orchestrate
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. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries into applications that enable the early detection of deviations from health
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will gain: Data analysis, modelling, and technoeconomic assessment skills Professional development in communication, leadership, and industrial collaboration Access to a strong network of industrial
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gene expression analysis, RT-qPCR, synteny analysis and the identification of genome rearrangements. The results will help describe previously unknown mechanisms controlling flowering induction and