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researcher in the context of a multidisciplinary project to classify materials in waste streams, including using X-rays. The goal is to optimally use the spectral capacities of a new generation of X-ray
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. Involvement in combining Techno-Economic Assessment (TEA) and Real Options Analysis (ROA) to address different types of market uncertainty, such as price fluctuations and determine optimal investment timing
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the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing