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composite membranes with recourse to parameters pertaining to membrane casting solutions composition, MOF structures, coating techniques and membrane casting procedure. - Modeling and optimization
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valuable elements; Analyze, interpret, and synthesize experimental results to support process optimization; Contribute to the assessment of the environmental and sustainability performance of the developed
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, and climate projections depends critically on the adequate representation of land-atmosphere (L-A) feedbacks. These feedbacks are the result of a highly complex network of processes and variables
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The postdoc's primary mission will be to optimize feedback (critical incident technique) in high-security contexts using interview protocols developed within the framework of the scientific psychology
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dedicated to developing sustainable polymers and materials via visible-light-driven processes. The core focus of this role is the design and synthesis of novel, recyclable polymeric materials using low energy
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collection and analysis systems. Deploy prototypes in the field and optimize their performance based on feedback. Guarantee the reliability, security and scalability of the IoT solutions developed. Work
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programmability, network exposure APIs, service orchestration, O‑RAN, network slicing, and data-driven optimization. You have proven experience with AI/ML pipelines, including data processing, model training
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Postdoctoral Researcher will lead the scientific research activities related to the testing, operation, and optimization of the Advanced Plasma Reactor installed at the Aarhus University biogas plant and a
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effects; Study process parameters affecting the recovery of sulfur, magnesium, potassium, and other valuable elements; Analyze, interpret, and synthesize experimental results to support process optimization
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role in developing innovative biological solutions for advanced cell culture systems, with a focus on microbial processes, complex culture media development, and alternative nutrient sources. Where